How AI is changing the healthcare system
summary
Hospitals generate about 50 petabytes a day, so models focus on scaling and mixed data types; imaging pipelines use CNNs for X‑rays, CT and mammograms with explainability maps that highlight lung opacity and flagged a small mammogram nodule that became malignant four years later. LLMs parse unstructured electronic records to extract risk factors and recommend diabetes prevention pathways. Claims include triage that reduces wait times, improved accuracy for non‑radiologists, and using extracted cohorts for drug‑trial patient discovery.
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