Artificial intelligence applications and aging (1995-2024): Trends, challenges, and future directions in frailty research.

Ali Mufraih Albarrati, Rakan Nazer, Siddig Ibrahim Abdelwahab, Mohammed Albratty

Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. Electronic address: [email protected] of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. Electronic address: [email protected]. · pubmed

Paper

Abstract

Frailty, a significant predictor of adverse health outcomes, has become a focal point of research, particularly with the advent of artificial intelligence (AI) technologies. This study aimed to provide a comprehensive bibliometric analysis of research trends in AI and frailty to map conceptual developments, collaborations, and emerging themes in the field.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper claims to analyze trends and challenges in the application of AI to frailty research. The focus on frailty as a predictor of adverse health outcomes in aging populations aligns with longevity research, as it seeks to understand and potentially mitigate age-related decline.

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