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ARTIFICIAL INTELLIGENCE IN GERIATRIC PATIENT FOLLOW-UP: IMPACT ON PHYSICIAN WORKLOAD AND CLINICAL APPLICATIONS
ALPEREN KIZIKLI, ZEYNEL ABDN ZTRK
Experimental and Applied Medical Science - 2025;6(2):206-216
Gaziantep University, Faculty of Medicine, Department of Internal Medicine, Division of Geriatrics, Gaziantep, Turkiye.

Purpose: The rapid advancements in artificial intelligence (AI) have significantly influenced healthcare, especially in geriatric patient monitoring, a complex process due to multimorbidity, polypharmacy, and frailty. This study aims to evaluate the role of AI applications in geriatric monitoring and examine their potential impact on reducing physicians’ workload.

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