Integration of AI in predictive diagnostics and health data analysis

Artificial intelligence is increasingly utilized to identify sub-clinical physiological markers, enabling early disease detection before symptomatic onset. The efficacy of this approach remains dependent on the quality and volume of patient data, raising ongoing questions regarding data privacy and diagnostic accuracy.