Large language models generate fluent clinical summaries and answer medical questions impressively. But when healthcare organizations need to extract structured data from millions of clinical notes with reproducible accuracy, regulatory...
TL; DR This post presents a focused update on large-scale clinical de-identification benchmarks, emphasizing pipeline design, execution strategy, and infrastructure-aware performance. Rather than treating accuracy as an isolated metric, we...
A single short GPT-4o query consumes 0.43 Wh of electricity. Scale that to 700 million queries per day, and the annual electricity consumption equals 35,000 U.S. residential households, or 50...
Medical AI projects routinely deal with scanned documents and images that contain sensitive patient information. Extracting insights from these visuals is crucial – but so is protecting patient privacy. Traditionally,...
How is AI improving hospital capacity forecasting? Hospital systems face constant pressure to balance patient demand with finite resources. AI-driven capacity forecasting provides hospitals with the predictive intelligence needed to...
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