Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019)
[Display omitted] The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000–2019. Analyses are implemented in the following four steps: (1) literature dataset acquisition from art...
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| Published in | Journal of biomedical informatics Vol. 109; p. 103516 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.09.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1532-0464 1532-0480 1532-0480 |
| DOI | 10.1016/j.jbi.2020.103516 |
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| Abstract | [Display omitted]
The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000–2019.
Analyses are implemented in the following four steps: (1) literature dataset acquisition from article database (Web of Science, Scopus, PubMed, and IEEE digital library), (2) dataset pre-processing and refinement, (3) network construction and visualization, and (4) analysis and interpretation. Descriptive analysis, bibliometric network analysis, and in-depth qualitative analysis were conducted.
The 14,591 keywords of 5897 abstracts data were ultimately used to ascertain the intellectual structure of research on surgery with mixed reality. The dynamics of the evolution of keywords in the structure throughout the four periods is summarized with four aspects: (a) maintaining a predominant utilization tool for training, (b) widening clinical application area, (c) reallocating the continuum of mixed reality, and (d) steering advanced imaging and simulation technology.
The results of this study can provide valuable insights into technology adoption and research trends of mixed reality in surgery. These findings can help clinicians to overview prospective medical research on surgery using mixed reality. Hospitals can also understand the periodical maturity of technology of mixed reality in surgery, and, therefore, these findings can suggest an academic landscape to make a decision in adopting new technologies in surgery. |
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| AbstractList | [Display omitted]
The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000–2019.
Analyses are implemented in the following four steps: (1) literature dataset acquisition from article database (Web of Science, Scopus, PubMed, and IEEE digital library), (2) dataset pre-processing and refinement, (3) network construction and visualization, and (4) analysis and interpretation. Descriptive analysis, bibliometric network analysis, and in-depth qualitative analysis were conducted.
The 14,591 keywords of 5897 abstracts data were ultimately used to ascertain the intellectual structure of research on surgery with mixed reality. The dynamics of the evolution of keywords in the structure throughout the four periods is summarized with four aspects: (a) maintaining a predominant utilization tool for training, (b) widening clinical application area, (c) reallocating the continuum of mixed reality, and (d) steering advanced imaging and simulation technology.
The results of this study can provide valuable insights into technology adoption and research trends of mixed reality in surgery. These findings can help clinicians to overview prospective medical research on surgery using mixed reality. Hospitals can also understand the periodical maturity of technology of mixed reality in surgery, and, therefore, these findings can suggest an academic landscape to make a decision in adopting new technologies in surgery. The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000-2019.OBJECTIVEThe purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000-2019.Analyses are implemented in the following four steps: (1) literature dataset acquisition from article database (Web of Science, Scopus, PubMed, and IEEE digital library), (2) dataset pre-processing and refinement, (3) network construction and visualization, and (4) analysis and interpretation. Descriptive analysis, bibliometric network analysis, and in-depth qualitative analysis were conducted.METHODSAnalyses are implemented in the following four steps: (1) literature dataset acquisition from article database (Web of Science, Scopus, PubMed, and IEEE digital library), (2) dataset pre-processing and refinement, (3) network construction and visualization, and (4) analysis and interpretation. Descriptive analysis, bibliometric network analysis, and in-depth qualitative analysis were conducted.The 14,591 keywords of 5897 abstracts data were ultimately used to ascertain the intellectual structure of research on surgery with mixed reality. The dynamics of the evolution of keywords in the structure throughout the four periods is summarized with four aspects: (a) maintaining a predominant utilization tool for training, (b) widening clinical application area, (c) reallocating the continuum of mixed reality, and (d) steering advanced imaging and simulation technology.RESULTSThe 14,591 keywords of 5897 abstracts data were ultimately used to ascertain the intellectual structure of research on surgery with mixed reality. The dynamics of the evolution of keywords in the structure throughout the four periods is summarized with four aspects: (a) maintaining a predominant utilization tool for training, (b) widening clinical application area, (c) reallocating the continuum of mixed reality, and (d) steering advanced imaging and simulation technology.The results of this study can provide valuable insights into technology adoption and research trends of mixed reality in surgery. These findings can help clinicians to overview prospective medical research on surgery using mixed reality. Hospitals can also understand the periodical maturity of technology of mixed reality in surgery, and, therefore, these findings can suggest an academic landscape to make a decision in adopting new technologies in surgery.CONCLUSIONSThe results of this study can provide valuable insights into technology adoption and research trends of mixed reality in surgery. These findings can help clinicians to overview prospective medical research on surgery using mixed reality. Hospitals can also understand the periodical maturity of technology of mixed reality in surgery, and, therefore, these findings can suggest an academic landscape to make a decision in adopting new technologies in surgery. The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis for the period 2000-2019. Analyses are implemented in the following four steps: (1) literature dataset acquisition from article database (Web of Science, Scopus, PubMed, and IEEE digital library), (2) dataset pre-processing and refinement, (3) network construction and visualization, and (4) analysis and interpretation. Descriptive analysis, bibliometric network analysis, and in-depth qualitative analysis were conducted. The 14,591 keywords of 5897 abstracts data were ultimately used to ascertain the intellectual structure of research on surgery with mixed reality. The dynamics of the evolution of keywords in the structure throughout the four periods is summarized with four aspects: (a) maintaining a predominant utilization tool for training, (b) widening clinical application area, (c) reallocating the continuum of mixed reality, and (d) steering advanced imaging and simulation technology. The results of this study can provide valuable insights into technology adoption and research trends of mixed reality in surgery. These findings can help clinicians to overview prospective medical research on surgery using mixed reality. Hospitals can also understand the periodical maturity of technology of mixed reality in surgery, and, therefore, these findings can suggest an academic landscape to make a decision in adopting new technologies in surgery. |
| ArticleNumber | 103516 |
| Author | Kim, Minjung Kwon, Gyu Hyun Kang, Hyo-Jin Han, Jieun |
| Author_xml | – sequence: 1 givenname: Jieun orcidid: 0000-0001-5712-9145 surname: Han fullname: Han, Jieun email: juliahanje@hanyang.ac.kr organization: Graduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, South Korea – sequence: 2 givenname: Hyo-Jin orcidid: 0000-0001-5266-5379 surname: Kang fullname: Kang, Hyo-Jin email: hjkang@sungshin.ac.kr organization: Department of Service Design Engineering, Sungshin Women's University, Seoul, South Korea – sequence: 3 givenname: Minjung surname: Kim fullname: Kim, Minjung organization: Department of Arts & Technology, Hanyang University, Seoul 04763, South Korea – sequence: 4 givenname: Gyu Hyun orcidid: 0000-0003-1623-4867 surname: Kwon fullname: Kwon, Gyu Hyun email: ghkwon@hanyang.ac.kr organization: Graduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, South Korea |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32736125$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.ejogrb.2019.01.016 10.1016/S0010-4825(01)00014-2 10.1109/HRI.2019.8673071 10.1007/s11192-016-2135-7 10.1002/rcs.1914 10.1016/j.compbiomed.2019.03.012 10.21053/ceo.2018.00906 10.1111/j.1468-2958.2008.00330.x 10.1016/S0097-8493(00)00070-4 10.1097/00000658-199811000-00001 10.1007/s11192-013-1128-z 10.1186/s12886-019-1098-x 10.1016/j.jsurg.2018.05.009 10.1016/j.jogoh.2018.10.004 10.1016/j.jocn.2018.12.036 10.1016/j.jbi.2010.05.016 10.1177/875697281804900104 10.1177/2327857919081006 10.1016/j.compmedimag.2012.12.002 10.1109/ICRA.2019.8793610 10.1007/s00417-019-04244-y 10.1016/j.joi.2008.09.005 10.1097/SLA.0000000000002448 10.1016/j.jbi.2017.09.010 10.1136/bmjopen-2018-027308 10.1117/12.197321 10.1126/science.1165821 10.1109/ACCESS.2019.2912949 10.1109/2.910895 10.1016/j.clineuro.2018.11.018 10.1109/TVCG.2011.50 10.1145/3173386.3173561 |
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| Keywords | Bibliometric network analysis, network analysis Surgery Mixed reality Augmented reality Virtual reality |
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| References | Lee, Jung, Song (b0095) 2016; 109 Mallik, Mandal (b0100) 2014; 98 Vankipuram, Kahol, McLaren, Panchanathan (b0015) 2010; 43 House, Pelzl, Furrer, Lanz, Simova, Voges (b0170) 2019; 106247 Linte, Davenport, Cleary, Peters, Vosburgh, Navab (b0165) 2013; 37 P. Milgram, H. Takemura, A. Utsumi, F. Kishino (Eds.), Augmented reality: A class of displays on the reality-virtuality continuum. Telemanipulator and telepresence technologies, International Society for Optics and Photonics, 1995. Jiang, Huang, Qian, Zhang, Liu (b0190) 2019; 7 Cyram (b0115) 2013 Aggarwal, Wang (b0085) 2011 De Rezende, Blackwell, Pessanha Gonçalves (b0090) 2018; 49 Yoon, Chen, Kim, Akinduro, Kerezoudis, Han (b0195) 2018 Calero-Medina, Noyons (b0080) 2008; 2 Papanikolaou, Haidopoulos, Paschopoulos, Chatzipapas, Loutradis, Vlahos (b0140) 2019; 235 W. Iqbal, J. Qadir, G. Tyson, A.N. Mian, S.U. Hassan, J. Crowcroft, A Bibliometric Analysis of Publications in Computer Networking Research. arXiv e-prints [Internet]. 2019 March 01, 2019. Available from Dubuisson (b0180) 2019; 48 T. Williams, D. Szafir, T. Chakraborti (Eds.), The Reality-Virtuality Interaction Cube: A Framework for Conceptualizing Mixed-Reality Interaction Design Elements for HRI, in: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019. T. Williams, D. Szafir, T. Chakraborti, H. Ben Amor (Eds.), Virtual, augmented, and mixed reality for human-robot interaction, in: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2018. Chen, Paul (b0040) 2001; 34 M. Barrie, J.J. Socha, L. Mansour, E.S. Patterson (Eds.), Mixed Reality in Medical Education: A Narrative Literature Review, in: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, SAGE Publications Sage CA, Los Angeles, CA, 2019. Feeley (b0075) 2008; 34 Kühnapfel, Cakmak, Maaß (b0205) 2000; 24 Guzdial, Ericson (b0105) 2016 Do Hyun Kim, Park, Kim (b0175) 2019; 12 Churruca, Pomare, Ellis, Long, Braithwaite (b0070) 2019; 9 Sauer, Queisner, Tang, Moosburner, Hoepfner, Horner (b0150) 2017; 266 López, Navarro, Crispin (b0025) 2019; 177 Rasmussen, Grauslund, Vergmann (b0030) 2019; 19 Siu, Li, Ng (b0210) 2019; 7 M. Kalia, N. Navab, T. Salcudean (Eds.), A Real-Time Interactive Augmented Reality Depth Estimation Technique for Surgical Robotics, in: 2019 International Conference on Robotics and Automation (ICRA), IEEE, 2019. Tsai, Hsieh, Jou (b0200) 2001; 31 Kersten-Oertel, Jannin, Collins (b0220) 2011; 18 R.W. Schvaneveldt, Pathfinder associative networks: Studies in knowledge organization, Ablex Publishing, 1990. De Bellis (b0060) 2009 J. Ramos (Ed.), Using tf-idf to determine word relevance in document queries, in: Proceedings of the first instructional conference on machine learning, Piscataway, NJ, 2003. Hu, Shao, Ye, Jin (b0155) 2019; 12 Shahzad, Chawla, Gala (b0215) 2019; 69 . Madison (b0225) 2018; 18 Joda, Gallucci, Wismeijer, Zitzmann (b0010) 2019; 108 Lee, Wong (b0035) 2019; 62 Qi, Panneerselvam, Ahn, Arikatla, Enquobahrie, De (b0020) 2017; 75 Wasserman, Faust (b0135) 1994 Kwong, Lee, Goldenberg (b0185) 2019; 76 D.W. Dearholt, R.W. Schvaneveldt, Properties of Pathfinder networks, 1990. Borgatti, Mehra, Brass, Labianca (b0130) 2009; 323 Marescaux, Clément, Tassetti, Koehl, Cotin, Russier (b0005) 1998; 228 Milgram, Kishino (b0050) 1994; 77 la Cour, Thomsen, Alberti, Konge (b0055) 2019; 257 Mallik (10.1016/j.jbi.2020.103516_b0100) 2014; 98 Cyram (10.1016/j.jbi.2020.103516_b0115) 2013 10.1016/j.jbi.2020.103516_b0230 10.1016/j.jbi.2020.103516_b0110 la Cour (10.1016/j.jbi.2020.103516_b0055) 2019; 257 Dubuisson (10.1016/j.jbi.2020.103516_b0180) 2019; 48 Chen (10.1016/j.jbi.2020.103516_b0040) 2001; 34 Papanikolaou (10.1016/j.jbi.2020.103516_b0140) 2019; 235 Joda (10.1016/j.jbi.2020.103516_b0010) 2019; 108 Madison (10.1016/j.jbi.2020.103516_b0225) 2018; 18 Guzdial (10.1016/j.jbi.2020.103516_b0105) 2016 Feeley (10.1016/j.jbi.2020.103516_b0075) 2008; 34 Shahzad (10.1016/j.jbi.2020.103516_b0215) 2019; 69 10.1016/j.jbi.2020.103516_b0145 Kersten-Oertel (10.1016/j.jbi.2020.103516_b0220) 2011; 18 10.1016/j.jbi.2020.103516_b0125 Sauer (10.1016/j.jbi.2020.103516_b0150) 2017; 266 Aggarwal (10.1016/j.jbi.2020.103516_b0085) 2011 Churruca (10.1016/j.jbi.2020.103516_b0070) 2019; 9 Linte (10.1016/j.jbi.2020.103516_b0165) 2013; 37 López (10.1016/j.jbi.2020.103516_b0025) 2019; 177 Siu (10.1016/j.jbi.2020.103516_b0210) 2019; 7 Vankipuram (10.1016/j.jbi.2020.103516_b0015) 2010; 43 De Bellis (10.1016/j.jbi.2020.103516_b0060) 2009 10.1016/j.jbi.2020.103516_b0160 Qi (10.1016/j.jbi.2020.103516_b0020) 2017; 75 10.1016/j.jbi.2020.103516_b0065 10.1016/j.jbi.2020.103516_b0120 Do Hyun Kim (10.1016/j.jbi.2020.103516_b0175) 2019; 12 Yoon (10.1016/j.jbi.2020.103516_b0195) 2018 10.1016/j.jbi.2020.103516_b0045 Lee (10.1016/j.jbi.2020.103516_b0095) 2016; 109 House (10.1016/j.jbi.2020.103516_b0170) 2019; 106247 Kwong (10.1016/j.jbi.2020.103516_b0185) 2019; 76 Tsai (10.1016/j.jbi.2020.103516_b0200) 2001; 31 Rasmussen (10.1016/j.jbi.2020.103516_b0030) 2019; 19 Kühnapfel (10.1016/j.jbi.2020.103516_b0205) 2000; 24 Marescaux (10.1016/j.jbi.2020.103516_b0005) 1998; 228 Lee (10.1016/j.jbi.2020.103516_b0035) 2019; 62 De Rezende (10.1016/j.jbi.2020.103516_b0090) 2018; 49 Wasserman (10.1016/j.jbi.2020.103516_b0135) 1994 Calero-Medina (10.1016/j.jbi.2020.103516_b0080) 2008; 2 10.1016/j.jbi.2020.103516_b0235 Borgatti (10.1016/j.jbi.2020.103516_b0130) 2009; 323 Milgram (10.1016/j.jbi.2020.103516_b0050) 1994; 77 Jiang (10.1016/j.jbi.2020.103516_b0190) 2019; 7 Hu (10.1016/j.jbi.2020.103516_b0155) 2019; 12 |
| References_xml | – volume: 106247 year: 2019 ident: b0170 article-title: Use of the mixed reality tool “VSI Patient Education” for more comprehensible and imaginable patient educations before epilepsy surgery and stereotactic implantation of DBS or stereo-EEG electrodes publication-title: Epilepsy Res. – volume: 43 start-page: 661 year: 2010 end-page: 668 ident: b0015 article-title: A virtual reality simulator for orthopedic basic skills: a design and validation study publication-title: J. Biomed. Inform. – volume: 7 start-page: 53566 year: 2019 end-page: 53584 ident: b0190 article-title: Registration technology of augmented reality in oral medicine: a review publication-title: IEEE Access – reference: W. Iqbal, J. Qadir, G. Tyson, A.N. Mian, S.U. Hassan, J. Crowcroft, A Bibliometric Analysis of Publications in Computer Networking Research. arXiv e-prints [Internet]. 2019 March 01, 2019. Available from: – volume: 257 start-page: 877 year: 2019 end-page: 881 ident: b0055 article-title: Simulators in the training of surgeons: is it worth the investment in money and time? 2018 Jules Gonin lecture of the retina Research Foundation publication-title: Graefe's Arch. Clin. Exp. Ophthalmol. – year: 2018 ident: b0195 article-title: Augmented reality for the surgeon: Systematic review publication-title: Int. J. Med. Robotics Comput. Assisted Surgery – year: 2016 ident: b0105 article-title: Introduction to computing and programming in python publication-title: Pearson – volume: 7 year: 2019 ident: b0210 article-title: Latest technology in minimally invasive thoracic surgery publication-title: Ann. Transl. Med. – volume: 18 year: 2018 ident: b0225 article-title: The future of augmented reality in healthcare publication-title: Health Manage. – volume: 34 start-page: 65 year: 2001 end-page: 71 ident: b0040 article-title: Visualizing a knowledge domain's intellectual structure publication-title: Computer – reference: M. Kalia, N. Navab, T. Salcudean (Eds.), A Real-Time Interactive Augmented Reality Depth Estimation Technique for Surgical Robotics, in: 2019 International Conference on Robotics and Automation (ICRA), IEEE, 2019. – volume: 98 start-page: 2011 year: 2014 end-page: 2037 ident: b0100 article-title: Bibliometric analysis of global publication output and collaboration structure study in microRNA research publication-title: Scientometrics – year: 1994 ident: b0135 article-title: Social network analysis: Methods and applications – volume: 34 start-page: 505 year: 2008 end-page: 520 ident: b0075 article-title: A Bibliometric Analysis of Communication Journals from 2002 to 2005 publication-title: Human Communication Res. – volume: 76 start-page: 193 year: 2019 end-page: 200 ident: b0185 article-title: Understanding and assessing non-technical skills in robotic urological surgery: a systematic review and synthesis of the validity evidence publication-title: J. Surgical Educ. – volume: 19 start-page: 10 year: 2019 ident: b0030 article-title: Simulation training in vitreoretinal surgery: a systematic review publication-title: BMC Ophthalmol. – reference: D.W. Dearholt, R.W. Schvaneveldt, Properties of Pathfinder networks, 1990. – volume: 31 start-page: 333 year: 2001 end-page: 351 ident: b0200 article-title: Virtual reality orthopedic surgery simulator publication-title: Comput. Biol. Med. – year: 2009 ident: b0060 article-title: Bibliometrics and citation analysis: from the science citation index to cybermetrics – reference: T. Williams, D. Szafir, T. Chakraborti (Eds.), The Reality-Virtuality Interaction Cube: A Framework for Conceptualizing Mixed-Reality Interaction Design Elements for HRI, in: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019. – volume: 108 start-page: 93 year: 2019 end-page: 100 ident: b0010 article-title: Augmented and virtual reality in dental medicine: a systematic review publication-title: Comput. Biol. Med. – reference: R.W. Schvaneveldt, Pathfinder associative networks: Studies in knowledge organization, Ablex Publishing, 1990. – volume: 77 start-page: 1321 year: 1994 end-page: 1329 ident: b0050 article-title: A taxonomy of mixed reality visual displays publication-title: IEICE Trans. Inf. Syst. – volume: 2 start-page: 272 year: 2008 end-page: 279 ident: b0080 article-title: Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field publication-title: J. Informetrics – reference: P. Milgram, H. Takemura, A. Utsumi, F. Kishino (Eds.), Augmented reality: A class of displays on the reality-virtuality continuum. Telemanipulator and telepresence technologies, International Society for Optics and Photonics, 1995. – volume: 12 start-page: 12 year: 2019 ident: b0175 article-title: Virtual reality simulators for endoscopic sinus and skull base surgery: the present and future publication-title: Clin. Exp. Otorhinolaryngol. – volume: 18 start-page: 332 year: 2011 end-page: 352 ident: b0220 article-title: DVV: a taxonomy for mixed reality visualization in image guided surgery publication-title: IEEE Trans. Visual Comput. Graphics – volume: 9 year: 2019 ident: b0070 article-title: The influence of complexity: a bibliometric analysis of complexity science in healthcare publication-title: BMJ Open. – volume: 48 start-page: 77 year: 2019 end-page: 81 ident: b0180 article-title: The current place of mini-invasive surgery in uterine leiomyoma management publication-title: J. Gynecol. Obstet. Hum. Reprod. – volume: 177 start-page: 6 year: 2019 end-page: 11 ident: b0025 article-title: Intraoperative clinical application of augmented reality in neurosurgery: a systematic review publication-title: Clin. Neurol. Neurosurg. – volume: 228 start-page: 627 year: 1998 ident: b0005 article-title: Virtual reality applied to hepatic surgery simulation: the next revolution publication-title: Ann Surg. – reference: . – start-page: 353 year: 2011 end-page: 378 ident: b0085 article-title: Text Mining in Social Networks publication-title: Social Network Data Analytics – year: 2013 ident: b0115 article-title: Cyram Netminer 4.1 publication-title: Seoul: Cyram. – volume: 235 start-page: 13 year: 2019 end-page: 18 ident: b0140 article-title: Changing the way we train surgeons in the 21th century: a narrative comparative review focused on box trainers and virtual reality simulators publication-title: Eur. J. Obstet. Gynecol. Reprod. Biol. – volume: 12 start-page: 3107 year: 2019 end-page: 3113 ident: b0155 article-title: Application of mixed reality technology in surgery publication-title: Int. J. Clin. Exp. Med. – volume: 75 start-page: 48 year: 2017 end-page: 62 ident: b0020 article-title: Virtual interactive suturing for the Fundamentals of Laparoscopic Surgery (FLS) publication-title: J. Biomed. Inform. – volume: 109 start-page: 1761 year: 2016 end-page: 1787 ident: b0095 article-title: Subject–method topic network analysis in communication studies publication-title: Scientometrics – volume: 37 start-page: 83 year: 2013 end-page: 97 ident: b0165 article-title: On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic publication-title: Comput. Med. Imaging Graph. – reference: M. Barrie, J.J. Socha, L. Mansour, E.S. Patterson (Eds.), Mixed Reality in Medical Education: A Narrative Literature Review, in: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, SAGE Publications Sage CA, Los Angeles, CA, 2019. – reference: T. Williams, D. Szafir, T. Chakraborti, H. Ben Amor (Eds.), Virtual, augmented, and mixed reality for human-robot interaction, in: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, ACM, 2018. – volume: 69 start-page: S69 year: 2019 ident: b0215 article-title: Telesurgery prospects in delivering healthcare in remote areas publication-title: J. Pakistan Med. Assoc. – reference: J. Ramos (Ed.), Using tf-idf to determine word relevance in document queries, in: Proceedings of the first instructional conference on machine learning, Piscataway, NJ, 2003. – volume: 62 start-page: 14 year: 2019 end-page: 20 ident: b0035 article-title: Virtual reality and augmented reality in the management of intracranial tumors: a review publication-title: J. Clin. Neurosci. – volume: 49 start-page: 42 year: 2018 end-page: 56 ident: b0090 article-title: Research focuses, trends, and major findings on project complexity: a bibliometric network analysis of 50 years of project complexity research publication-title: Project Manage. J. – volume: 24 start-page: 671 year: 2000 end-page: 682 ident: b0205 article-title: Endoscopic surgery training using virtual reality and deformable tissue simulation publication-title: Comput. Graphics – volume: 323 start-page: 892 year: 2009 end-page: 895 ident: b0130 article-title: Network analysis in the social sciences publication-title: Science – volume: 266 start-page: 706 year: 2017 end-page: 712 ident: b0150 article-title: Mixed reality in visceral surgery: development of a suitable workflow and evaluation of intraoperative use-cases publication-title: Ann. Surg. – volume: 235 start-page: 13 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0140 article-title: Changing the way we train surgeons in the 21th century: a narrative comparative review focused on box trainers and virtual reality simulators publication-title: Eur. J. Obstet. Gynecol. Reprod. Biol. doi: 10.1016/j.ejogrb.2019.01.016 – volume: 31 start-page: 333 issue: 5 year: 2001 ident: 10.1016/j.jbi.2020.103516_b0200 article-title: Virtual reality orthopedic surgery simulator publication-title: Comput. Biol. Med. doi: 10.1016/S0010-4825(01)00014-2 – ident: 10.1016/j.jbi.2020.103516_b0065 – ident: 10.1016/j.jbi.2020.103516_b0230 doi: 10.1109/HRI.2019.8673071 – volume: 109 start-page: 1761 issue: 3 year: 2016 ident: 10.1016/j.jbi.2020.103516_b0095 article-title: Subject–method topic network analysis in communication studies publication-title: Scientometrics doi: 10.1007/s11192-016-2135-7 – year: 2018 ident: 10.1016/j.jbi.2020.103516_b0195 article-title: Augmented reality for the surgeon: Systematic review publication-title: Int. J. Med. Robotics Comput. Assisted Surgery doi: 10.1002/rcs.1914 – volume: 108 start-page: 93 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0010 article-title: Augmented and virtual reality in dental medicine: a systematic review publication-title: Comput. Biol. Med. doi: 10.1016/j.compbiomed.2019.03.012 – volume: 12 start-page: 12 issue: 1 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0175 article-title: Virtual reality simulators for endoscopic sinus and skull base surgery: the present and future publication-title: Clin. Exp. Otorhinolaryngol. doi: 10.21053/ceo.2018.00906 – volume: 34 start-page: 505 issue: 3 year: 2008 ident: 10.1016/j.jbi.2020.103516_b0075 article-title: A Bibliometric Analysis of Communication Journals from 2002 to 2005 publication-title: Human Communication Res. doi: 10.1111/j.1468-2958.2008.00330.x – ident: 10.1016/j.jbi.2020.103516_b0120 – volume: 24 start-page: 671 issue: 5 year: 2000 ident: 10.1016/j.jbi.2020.103516_b0205 article-title: Endoscopic surgery training using virtual reality and deformable tissue simulation publication-title: Comput. Graphics doi: 10.1016/S0097-8493(00)00070-4 – volume: 228 start-page: 627 issue: 5 year: 1998 ident: 10.1016/j.jbi.2020.103516_b0005 article-title: Virtual reality applied to hepatic surgery simulation: the next revolution publication-title: Ann Surg. doi: 10.1097/00000658-199811000-00001 – volume: 98 start-page: 2011 issue: 3 year: 2014 ident: 10.1016/j.jbi.2020.103516_b0100 article-title: Bibliometric analysis of global publication output and collaboration structure study in microRNA research publication-title: Scientometrics doi: 10.1007/s11192-013-1128-z – volume: 106247 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0170 article-title: Use of the mixed reality tool “VSI Patient Education” for more comprehensible and imaginable patient educations before epilepsy surgery and stereotactic implantation of DBS or stereo-EEG electrodes publication-title: Epilepsy Res. – ident: 10.1016/j.jbi.2020.103516_b0110 – volume: 19 start-page: 10 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0030 article-title: Simulation training in vitreoretinal surgery: a systematic review publication-title: BMC Ophthalmol. doi: 10.1186/s12886-019-1098-x – volume: 77 start-page: 1321 issue: 12 year: 1994 ident: 10.1016/j.jbi.2020.103516_b0050 article-title: A taxonomy of mixed reality visual displays publication-title: IEICE Trans. Inf. Syst. – volume: 76 start-page: 193 issue: 1 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0185 article-title: Understanding and assessing non-technical skills in robotic urological surgery: a systematic review and synthesis of the validity evidence publication-title: J. Surgical Educ. doi: 10.1016/j.jsurg.2018.05.009 – volume: 48 start-page: 77 issue: 2 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0180 article-title: The current place of mini-invasive surgery in uterine leiomyoma management publication-title: J. Gynecol. Obstet. Hum. Reprod. doi: 10.1016/j.jogoh.2018.10.004 – volume: 62 start-page: 14 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0035 article-title: Virtual reality and augmented reality in the management of intracranial tumors: a review publication-title: J. Clin. Neurosci. doi: 10.1016/j.jocn.2018.12.036 – volume: 43 start-page: 661 issue: 5 year: 2010 ident: 10.1016/j.jbi.2020.103516_b0015 article-title: A virtual reality simulator for orthopedic basic skills: a design and validation study publication-title: J. Biomed. Inform. doi: 10.1016/j.jbi.2010.05.016 – volume: 49 start-page: 42 issue: 1 year: 2018 ident: 10.1016/j.jbi.2020.103516_b0090 article-title: Research focuses, trends, and major findings on project complexity: a bibliometric network analysis of 50 years of project complexity research publication-title: Project Manage. J. doi: 10.1177/875697281804900104 – volume: 69 start-page: S69 issue: Suppl. 1 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0215 article-title: Telesurgery prospects in delivering healthcare in remote areas publication-title: J. Pakistan Med. Assoc. – ident: 10.1016/j.jbi.2020.103516_b0145 doi: 10.1177/2327857919081006 – start-page: 353 year: 2011 ident: 10.1016/j.jbi.2020.103516_b0085 article-title: Text Mining in Social Networks – ident: 10.1016/j.jbi.2020.103516_b0125 – volume: 37 start-page: 83 issue: 2 year: 2013 ident: 10.1016/j.jbi.2020.103516_b0165 article-title: On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic publication-title: Comput. Med. Imaging Graph. doi: 10.1016/j.compmedimag.2012.12.002 – ident: 10.1016/j.jbi.2020.103516_b0160 doi: 10.1109/ICRA.2019.8793610 – volume: 257 start-page: 877 issue: 5 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0055 article-title: Simulators in the training of surgeons: is it worth the investment in money and time? 2018 Jules Gonin lecture of the retina Research Foundation publication-title: Graefe's Arch. Clin. Exp. Ophthalmol. doi: 10.1007/s00417-019-04244-y – volume: 2 start-page: 272 issue: 4 year: 2008 ident: 10.1016/j.jbi.2020.103516_b0080 article-title: Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field publication-title: J. Informetrics doi: 10.1016/j.joi.2008.09.005 – volume: 266 start-page: 706 issue: 5 year: 2017 ident: 10.1016/j.jbi.2020.103516_b0150 article-title: Mixed reality in visceral surgery: development of a suitable workflow and evaluation of intraoperative use-cases publication-title: Ann. Surg. doi: 10.1097/SLA.0000000000002448 – volume: 75 start-page: 48 year: 2017 ident: 10.1016/j.jbi.2020.103516_b0020 article-title: Virtual interactive suturing for the Fundamentals of Laparoscopic Surgery (FLS) publication-title: J. Biomed. Inform. doi: 10.1016/j.jbi.2017.09.010 – volume: 9 issue: 3 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0070 article-title: The influence of complexity: a bibliometric analysis of complexity science in healthcare publication-title: BMJ Open. doi: 10.1136/bmjopen-2018-027308 – year: 2009 ident: 10.1016/j.jbi.2020.103516_b0060 – ident: 10.1016/j.jbi.2020.103516_b0045 doi: 10.1117/12.197321 – volume: 323 start-page: 892 issue: 5916 year: 2009 ident: 10.1016/j.jbi.2020.103516_b0130 article-title: Network analysis in the social sciences publication-title: Science doi: 10.1126/science.1165821 – volume: 12 start-page: 3107 issue: 4 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0155 article-title: Application of mixed reality technology in surgery publication-title: Int. J. Clin. Exp. Med. – volume: 7 start-page: 53566 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0190 article-title: Registration technology of augmented reality in oral medicine: a review publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2912949 – year: 1994 ident: 10.1016/j.jbi.2020.103516_b0135 – year: 2013 ident: 10.1016/j.jbi.2020.103516_b0115 article-title: Cyram Netminer 4.1 publication-title: Seoul: Cyram. – volume: 34 start-page: 65 issue: 3 year: 2001 ident: 10.1016/j.jbi.2020.103516_b0040 article-title: Visualizing a knowledge domain's intellectual structure publication-title: Computer doi: 10.1109/2.910895 – volume: 177 start-page: 6 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0025 article-title: Intraoperative clinical application of augmented reality in neurosurgery: a systematic review publication-title: Clin. Neurol. Neurosurg. doi: 10.1016/j.clineuro.2018.11.018 – year: 2016 ident: 10.1016/j.jbi.2020.103516_b0105 article-title: Introduction to computing and programming in python publication-title: Pearson – volume: 7 issue: 2 year: 2019 ident: 10.1016/j.jbi.2020.103516_b0210 article-title: Latest technology in minimally invasive thoracic surgery publication-title: Ann. Transl. Med. – volume: 18 issue: 1 year: 2018 ident: 10.1016/j.jbi.2020.103516_b0225 article-title: The future of augmented reality in healthcare publication-title: Health Manage. – volume: 18 start-page: 332 issue: 2 year: 2011 ident: 10.1016/j.jbi.2020.103516_b0220 article-title: DVV: a taxonomy for mixed reality visualization in image guided surgery publication-title: IEEE Trans. Visual Comput. Graphics doi: 10.1109/TVCG.2011.50 – ident: 10.1016/j.jbi.2020.103516_b0235 doi: 10.1145/3173386.3173561 |
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The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric... The purpose of this study is to view research trends on surgery with mixed reality, and present the intellectual structure using bibliometric network analysis... |
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| Title | Mapping the intellectual structure of research on surgery with mixed reality: Bibliometric network analysis (2000–2019) |
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