GoKawiil
Tech News
AI-powered dermatology tools designed to identify skin conditions like melanoma are becoming more accurate overall, but researchers have found these systems perform less reliably for patients with darker skin. The disparity stems largely from training datasets that contain far fewer images of skin conditions on non-white patients.
A new JAMA article co-authored by oncologist Ezekiel Emanuel and venture capitalist Vinod Khosla argues that autonomous AI systems are approaching, or have already reached, the point where they outperform both human physicians and doctor-AI hybrid teams on core clinical tasks. Those tasks include taking patient histories, diagnosing illness, choosing tests, prescribing treatment, and managing chronic disease. The authors claim that human oversight can actually degrade AI's performance rather than improve it, based on their review of AI medical research published since January 2024.