Guidelines Central and VA show why specialized healthcare NLP must structure LLM output before clinical use. Medical experts prefer specialized models 45-92% more.
When Guidelines Central partnered with John Snow Labs to match patients with clinical guidelines from 35+ medical societies, the technical challenge was not generating recommendations. Large language models can produce...
When GE Healthcare's EDISON platform needed to transform radiology report processing for pharmaceutical partners, the engineering challenge extended far beyond extracting clinical findings from unstructured text. The real problem emerged...
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...
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