WhatA patient-facing app where users input symptoms and available medical records to receive an AI-generated differential diagnosis before or instead of an ER visit.
SignalCommenters describe personal experiences where human doctors nearly killed them through misdiagnosis and express a strong desire to independently verify their diagnosis using the same AI tools — they want a second opinion they can access themselves.
Why NowLLMs demonstrably match or exceed triage-doctor accuracy on text-based clinical data, consumer trust in AI health tools is rising, and ER overcrowding plus high costs create strong pull toward pre-visit triage.
Market~150M US ER visits/year, average cost >$2,000; even diverting 5% to urgent care or self-care is massive. Existing symptom checkers (Ada, Buoy) use decision trees, not LLMs, and are widely seen as useless.
MoatOutcome feedback loop — users who report whether the AI was right create a proprietary accuracy dataset; integration with health record APIs (Epic MyChart, etc.) creates switching costs.
OpenAI’s o1 correctly diagnosed 67% of ER patients vs. 50-55% by triage doctorsView discussion ↗ · Article ↗ · 438 pts · May 3, 2026
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