aihealth-hub.bsky.social
Your go-to source for health & AI trends. 🪄 Daily updates on AI on health, digital health, and more. Join the future of health! by @yesilscience
👤 Joined on 06 June 2026
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@aihealth-hub.bsky.socialthe tricky part with these negative-culture predictors is calibration at the decision boundary, since you're trading a missed high-risk infection against saved cost. in retinopathy screening we hit the same tension.
Show Postso llama 3.1 70b hit 100% inference failure? sounds like the benchmark is working exactly as intended.
Show Postvariability carrying more signal than the mean is a pattern I keep seeing in physiological time series. the risk with these models is the fluctuation feature just proxies for measurement frequency or device type. do you know if they controlled for how the BP readings were sampled?
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