AI outperforms physicians on some diagnostic tasks, but safety concerns remain

The author, who spent a year and $1 million building a clinical AI system, argues that raw intelligence is easy to obtain, but reproducibility, reliable data extraction, and deterministic safeguards are far harder. General‑purpose LLMs miss many values in dense lab reports, creating dangerous blind spots. The piece concludes that future tools should combine AI’s memory and pattern‑recognition with the clinician’s judgment, empathy, and contextual awareness, forming a “bionic practitioner.”