The landscape of medical diagnostics is undergoing a profound transformation, driven by the exponential advancements in artificial intelligence. Historically, diagnosis has been an intricate, often subjective process, heavily reliant on human expertise, experience, and the ability to synthesize vast amounts of information from patient history, physical examinations, and diverse test results. While invaluable, this human-centric approach is susceptible to limitations such as cognitive fatigue, inter
