Healthcare AI increasingly repurposes existing data and devices

Mammography risk prediction, multi-night home sleep testing, AI-enabled point-of-care CBC analysis, battlefield/offline medical assistance, and food-safety sensing show models being fitted to constrained real-world workflows. External validation, calibration, provenance, human training, regulatory evidence, and measurable improvements in care remain the key tests.