Current Trends of Computational Tools in Geriatric Medicine and Frailty Management

  • Anna Maria Louka
  • , Christos Tsagkaris
  • , Panagiotis Christoforou
  • , Andleeb Khan
  • , Filia Alexiou
  • , Panagiota Simou
  • , Ioannis Haranas
  • , Ioannis Gkigkitzis
  • , Zouganelis Georgios
  • , Niraj Kumar Jha
  • , Md Sahab Uddin
  • , Bairong Shen
  • , Mohammad A. Kamal
  • , Ghulam Md Ashraf*
  • , Athanasios Alexiou*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number232
JournalFrontiers in Bioscience - Landmark
Volume27
Issue number8
DOIs
Publication statusPublished - Aug 2022
Externally publishedYes

Keywords

  • Aging
  • artificial intelligence
  • bioinformatics
  • brain-computer interface
  • dementia
  • expert systems
  • frailty
  • geriatrics

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