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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence in Medicine Handbook 2026: Clinical Foundations in Machine Learning, Diagnostic Algorithms, and Predictive Analytics for Pract

Artificial Intelligence in Medicine Handbook 2026: Clinical Foundations in Machine Learning, Diagnostic Algorithms, and Predictive Analytics for Pract

Paperback

Medical Reference

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ISBN10: 1105045692
ISBN13: 9781105045691
Publisher: Ramon C. Henson
Pages: 316
Weight: 1.62
Height: 0.66 Width: 8.50 Depth: 11.00
Language: English

Built for the clinician who now reviews an AI-generated finding, alert, or note before every diagnosis leaves the room, this reference connects the statistical foundations of clinical machine learning - validation methodology, sensitivity and specificity, calibration, regulatory clearance pathways - to the moment those numbers become a decision at the bedside. It moves across every major point of clinical AI contact - diagnostic imaging, cardiac and neuro screening, pathology and genomics, critical care alerting, psychiatry risk prediction, ambient documentation, and pharmacology - and into the judgment call each one demands. The proprietary Signal-to-Verdict Decision System, built into every chapter and consolidated in a dedicated Master Index, gives that judgment call a repeatable structure: Signal, Validation Check, Trap Logic, Standard-of-Care Anchor, Verdict.

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