Medical Xpress December 9, 2024
Xin Pei, Deval Mehta, and Lisa Zhuoting Zhu, University of Melbourne

In the era of artificial intelligence (AI), medical AI is gaining significant attention for its potential to revolutionize health care and enhance a wide range of medical services.

In recent years, AI-assisted disease diagnosis and prevention have begun to specifically target age-related conditions like Alzheimer’s disease.

These tools include a deep-learning algorithm using voice and facial expressions to identify patients with early-stage Parkinson’s disease and AI tools designed to detect Alzheimer’s disease from brain images.

Despite these advances, there has been little focus on aging in the general development of medical AI technologies.

Specifically, we lack an understanding of how older adults are represented in training AI datasets and design processes. If this is not addressed, AI is prone to...

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