Published on 30 Aug 2024 by Dr. Yetunde Oladipo
Machine learning tools are already useful in narrow, well-defined tasks like flagging anomalies in imaging. They're far less reliable as a stand-in for clinical judgment, and the practitioners getting the most value treat them as a second set of eyes, not a decision-maker.
Understanding that distinction is going to matter more, not less, as these tools become more common in everyday practice.
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