Current trends of computational tools and artificial intelligence in geriatric medicine

Wireko Andrew Awuah, Brian M. Ou Yong, Tatiana Mikhailova, Jyi Cheng Ng, Toufik Abdul-Rahman, Rohan Yarlagadda, Alexander J. Tedeschi, Goshen David Miteu, Tulika Garg, Lian David, Edouard Lansiaux, Helen Huang, Esther Patience Nansubuga, Ayush Anand, Kateryna Sikora, Arda Isik, Sandip Debnath, Sourish Pramanik, Dibyendu Seth, Nobendu MukerjeeFlora Narli, Rohit Sharma, Arabinda Ghosh, Ghulam Md Ashraf, Αthanasios Alexiou

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

Abstract

As lifespans grow across the globe, so does the prevalence of neurodegenerative diseases among a rapidly expanding elderly demographic. Originating in the brain—the least understood organ in the human body—neurodegenerative diseases are caused by complex mechanisms that are challenging to study in a heterogeneous patient population. Machine learning, natural language processing, and other subfields of artificial intelligence have shown great promise as computational tools enabling physician-scientists to tackle these challenges on a potentially large scale. This chapter explores current applications of artificial intelligence in the classification, treatment, and management of the most common neurodegenerative diseases.

Original languageEnglish
Title of host publicationEssential Guide to Neurodegenerative Disorders
Subtitle of host publicationMechanistic, Diagnostic and Therapeutic Advances
PublisherElsevier
Pages363-374
Number of pages12
ISBN (Electronic)9780443157028
ISBN (Print)9780443157035
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • Artificial intelligence
  • Geriatrics
  • Machine learning
  • Neurodegenerative disorders
  • Therapeutic procedure

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