Imaging Intelligence: AI Is Transforming Medical Imaging Across the Imaging Spectrum

• Published in: IEEE pulse Vol. 9; no. 5; pp. 16 - 24
• Main Authors: Mandal, Subhamoy, Greenblatt, Aaron B., An, Jingzhi
• Format: Magazine Article
• Language: English
• Published: United States IEEE 01.09.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial Intelligence; Computer applications; Diagnostic systems; Humans; Image analysis; Image processing; Image Processing, Computer-Assisted - methods; Image reconstruction; Learning algorithms; Machine Learning; Medical imaging; Medical research; Medicine; Microscopy; Radiology; Researchers; Tomography
• ISSN: 2154-2287; 2154-2317
• DOI: 10.1109/MPUL.2018.2857226

Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, and medical imaging is at the forefront of technological transformation. Recent advances in AI/ML fields have made an impact on imaging and image analysis across the board, from microscopy to radiology. AI has been an active field of research since the 1950s; however, for most of this period, algorithms achieved subhuman performance and were not broadly adopted in medicine. Recent enhancements for computational hardware is enabling researchers to revisit old AI algorithms and experiment with new mathematical ideas. Researchers are applying these methods to a broad array of medical technologies, ranging from microscopic image analysis to tomographic image reconstruction and diagnostic planning.