Current Trends of Computational Tools in Geriatric Medicine and Frailty Management

• Published in: Frontiers in bioscience (Landmark. Print) Vol. 27; no. 8; p. 232
• Main Authors: Louka, Anna Maria, Tsagkaris, Christos, Christoforou, Panagiotis, Khan, Andleeb, Alexiou, Filia, Simou, Panagiota, Haranas, Ioannis, Gkigkitzis, Ioannis, Zouganelis, Georgios, Jha, Niraj Kumar, Uddin, Md Sahab, Shen, Bairong, Kamal, Mohammad A., Ashraf, Ghulam Md, Alexiou, Athanasios
• Format: Journal Article
• Language: English
• Published: IMR Press 29.07.2022
• Subjects: aging; artificial intelligence; bioinformatics; brain-computer interface; dementia; expert systems; frailty; geriatrics
• ISSN: 2768-6701; 2768-6698
• DOI: 10.31083/j.fbl2708232

While frailty corresponds to a multisystem failure, geriatric assessment can recognize multiple pathophysiological lesions and age changes. Up to now, a few frailty indexes have been introduced, presenting definitions of psychological problems, dysregulations in nutritional intake, behavioral abnormalities, and daily functions, genetic, environmental, and cardiovascular comorbidities. The geriatric evaluation includes a vast range of health professionals; therefore, we describe a broad range of applications and frailty scales-biomarkers to investigate and formulate the relationship between frailty lesions, diagnosis, monitoring, and treatment. Additionally, artificial intelligence applications and computational tools are presented, targeting a more efficacy individualized geriatric management of healthy aging.