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

doi:10.31083/j.fbl2708232

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 journal › Review article › peer-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 language	English
Article number	232
Journal	Frontiers in Bioscience - Landmark
Volume	27
Issue number	8
DOIs	https://doi.org/10.31083/j.fbl2708232
Publication status	Published - Aug 2022
Externally published	Yes

Keywords

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

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10.31083/j.fbl2708232

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Louka, A. M., Tsagkaris, C., Christoforou, P., Khan, A., Alexiou, F., Simou, P., Haranas, I., Gkigkitzis, I., Georgios, Z., Jha, N. K., Uddin, M. S., Shen, B., Kamal, M. A., Ashraf, G. M., & Alexiou, A. (2022). Current Trends of Computational Tools in Geriatric Medicine and Frailty Management. Frontiers in Bioscience - Landmark, 27(8), Article 232. https://doi.org/10.31083/j.fbl2708232

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title = "Current Trends of Computational Tools in Geriatric Medicine and Frailty Management",

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.",

keywords = "Aging, artificial intelligence, bioinformatics, brain-computer interface, dementia, expert systems, frailty, geriatrics",

author = "Louka, {Anna Maria} and Christos Tsagkaris and Panagiotis Christoforou and Andleeb Khan and Filia Alexiou and Panagiota Simou and Ioannis Haranas and Ioannis Gkigkitzis and Zouganelis Georgios and Jha, {Niraj Kumar} and Uddin, {Md Sahab} and Bairong Shen and Kamal, {Mohammad A.} and Ashraf, {Ghulam Md} and Athanasios Alexiou",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s).",

year = "2022",

month = aug,

doi = "10.31083/j.fbl2708232",

language = "English",

volume = "27",

journal = "Frontiers in Bioscience - Landmark",

issn = "2768-6701",

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TY - JOUR

T1 - Current Trends of Computational Tools in Geriatric Medicine and Frailty Management

AU - Louka, Anna Maria

AU - Tsagkaris, Christos

AU - Christoforou, Panagiotis

AU - Khan, Andleeb

AU - Alexiou, Filia

AU - Simou, Panagiota

AU - Haranas, Ioannis

AU - Gkigkitzis, Ioannis

AU - Georgios, Zouganelis

AU - Jha, Niraj Kumar

AU - Uddin, Md Sahab

AU - Shen, Bairong

AU - Kamal, Mohammad A.

AU - Ashraf, Ghulam Md

AU - Alexiou, Athanasios

PY - 2022/8

Y1 - 2022/8

N2 - 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.

AB - 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.

KW - Aging

KW - artificial intelligence

KW - bioinformatics

KW - brain-computer interface

KW - dementia

KW - expert systems

KW - frailty

KW - geriatrics

UR - http://www.scopus.com/inward/record.url?scp=85136990701&partnerID=8YFLogxK

U2 - 10.31083/j.fbl2708232

DO - 10.31083/j.fbl2708232

M3 - Review article

C2 - 36042184

AN - SCOPUS:85136990701

SN - 2768-6701

VL - 27

JO - Frontiers in Bioscience - Landmark

JF - Frontiers in Bioscience - Landmark

IS - 8

M1 - 232

ER -

Current Trends of Computational Tools in Geriatric Medicine and Frailty Management

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