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Medical AI Applications Blog

Case Studies and Lessons Learned from Applying AI in Healthcare and Pharma.

Risk adjustment models are only as complete as the codes they can see. A physician note describing "poorly controlled diabetes with early nephropathy and peripheral neuropathy, complicated by depression and...

RAG quality is decided before a query ever runs. See why chunking, terminology normalization, and de-identification determine whether clinical RAG retrieval is reliable.   Retrieval-augmented generation lets a clinical LLM...

Personalized treatment pathways require data engineering more than better models. See what Roche, MiBA, and Guideline Central built to get there in production. Personalized medicine matches treatment to a patient's...

Digital pathology is generating data faster than most healthcare organizations can safely share it. A single whole-slide image (WSI) can weigh in at several gigabytes, and every one of them...