AINewsnow

Subgroup Evaluation in Healthcare AI: Looking Beyond Average Performance

Healthcare AI models are commonly evaluated using aggregate measures such as AUROC, sensitivity, specificity and calibration. These metrics are useful, but they can conceal meaningful performance differences across patient groups. A model may achieve strong overall discrimination while producing mo…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-14 09:33 · DEV Community — Machine Learning
    Subgroup Evaluation in Healthcare AI: Looking Beyond Average Performance

More stories

  1. Google releases Gemini 4 Argon with 1M token output limit — Google Gemini Blog
  2. Saudi OpenAI Engineer Arrested for Allegedly Planting Recording Device — Sky News Technology
  3. Google grants 200 European researchers access to frontier AI models — Techmeme
  4. Judge orders OpenAI to disclose hiring records in Apple trade secrets lawsuit — TechCrunch AI
  5. Nvidia pledges $250M in compute to UK for AI safety research — Techmeme
  6. NEURA Robotics Unveils Neuron AI Foundation Model for Physical AI — Unite.AI
  7. Anthropic Opens Singapore Office and Signs AI Safety MOU with Government — AlphaSignal
  8. The EU Commission's AI Office launches formal AI Act probes into OpenAI and Anthropic over AI agent hacks; experts say the AI Act includes an R&D exemption — Techmeme

Get the daily brief of stories like this at 6:30 every morning →