Vollständiger Abstract
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<h4>Background</h4>As global population aging accelerates, infectious diseases in older adults have emerged as a growing public health burden with substantial clinical, economic, and societal implications. The rapid advancement of artificial intelligence (AI) offers a transformative opportunity to enhance the management of infections in this vulnerable population.<h4>Methods</h4>This review delineates key determinants specific to geriatrics that influence infection susceptibility and atypical presentation, including age-related organ dysfunction, immunosenescence, inflammaging, chronic comorbidities, and psychosocial factors, and summarizes the recent advances in AI applications across the management for infectious diseases in older adults.<h4>Results</h4>AI has made significant progress in the prevention, diagnosis, and treatment of infectious diseases in older adults: early detection of clinical deterioration, rapid and etiologically precise diagnosis, individualized therapeutic optimization, AI-facilitated antimicrobial stewardship, and accelerated discovery of novel antimicrobial strategies.<h4>Conclusion</h4>AI shows great potential in helping prevent, diagnose, and treat infections in older adults, and represents a promising complement to traditional care approaches.
Abstract: PubMed · Datensatz
Bibliografischer Nachweis
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- CrossRef Listing of Deleted DOIs
- Publikation
- 2000-01-01
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- ISSN / ISBN
- 0849-6757
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Zitierfähiger Nachweis
(2000). 10.3389/fpsyg.2012.00132. CrossRef Listing of Deleted DOIs. https://doi.org/10.3389/fcimb.2026.1887322