The rise of AI-powered health apps that claim to diagnose conditions in real time is transforming how we approach healthcare. Yet, for all their promise, AI health tools come with serious risks, and one of the most pressing concerns is misdiagnosis.
AI models are only as good as the data they're trained on, and if that data is flawed or incomplete, the results can be dangerously inaccurate. AI lacks the ability to contextualise symptoms, it does not know if a patient has a history of health anxiety or if their symptoms align with common, non-threatening conditions.
In the furture, The most likely scenario is a hybrid model AI handling routine diagnostics and data analysis while human doctors focus on complex cases, patient communication and emotional support. Robust validation, transparent algorithms, and clear accountability frameworks will be essential.
【MORE】