AI tool for breast cancer risk moves to direct-to-consumer amid regulatory scrutiny of Utah sandbox
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A startup featured in STAT's Health Tech newsletter is launching its breast cancer risk prediction algorithm directly to patients, bypassing traditional clinical pathways.
The direct-to-consumer rollout has drawn attention from regulators, who are monitoring the initiative within a Utah sandbox designed to test emerging health‑tech innovations.
The piece also flags broader worries about artificial intelligence in medicine, referencing a growing concern dubbed "AI psychosis" that reflects anxieties over algorithmic decision‑making.
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This writeup was produced by pharmadog from original reporting by STAT.
Original headline: “STAT+: AI for breast cancer risk prediction goes DTC, regulatory cloud over Utah sandbox, and AI psychosis”
read at STAT ↗457 words · retrieved 36m ago
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