{"product_id":"trustworthy-medical-ai-rajeev-yadav-9798185014356","title":"Trustworthy Medical AI: A Builder's Guide to Safe, Compliant Software as a Medical Device","description":"\u003cb\u003eThe model is never the problem. The architecture around it is.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eClinical AI is entering hospitals faster than the safeguards meant to keep it trustworthy. Systems that pass validation drift silently in the field. Alerts that cry wolf get switched off. A single unverified output compounds into a decision no one can trace back. The line between AI that helps and AI that harms isn't the accuracy of the model - it's the discipline of the loop built around it. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTrustworthy Medical AI\u003c\/b\u003e is a practical, story-driven guide to building software as a medical device that clinicians can trust and regulators can clear. Written by a former Technical and Clinical Assessor at a Notified Body who also built a regulated surgical AI platform through multicenter clinical validation, it turns hard-won, two-sided experience into a clear engineering discipline. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eInside, you'll learn how to: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eDesign the five-stage feedback loop - Define, Build, Verify, Deploy, Learn - that keeps a human meaningfully in command\u003c\/li\u003e\n\u003cli\u003eMap your architecture cleanly onto IEC 62304 and ISO 14971, so compliance becomes a byproduct of good engineering, not a scramble before submission\u003c\/li\u003e\n\u003cli\u003eSatisfy the FDA's Total Product Life Cycle approach and the EU AI Act's human-oversight requirements\u003c\/li\u003e\n\u003cli\u003eRecognize the failure patterns - validation gaps, silent drift, alert fatigue - before they reach a patient\u003c\/li\u003e\n\u003cli\u003ePrepare for the generative and agentic AI frontier, where the loop matters more, not less\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eEvery claim is grounded in publicly available evidence and cited - from landmark studies on automation bias and model drift to real, FDA-cleared deployments and well-documented failures. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eThis book is for: \u003c\/b\u003e MedTech engineers and founders, regulatory affairs professionals, clinical informaticists, and anyone responsible for AI that a clinician - and a patient - must be able to trust. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eHow do you know it keeps working safely once it leaves your lab? This book is how you find out before it's too late to matter.\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Rajeev Yadav\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798185014356\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/30\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 172\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.48lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.43d","brand":"Rajeev Yadav","offers":[{"title":"Paperback","offer_id":48871443628287,"sku":"9798185014356","price":41.75,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/trustworthy-medical-ai-rajeev-yadav-9798185014356","provider":"WR Book House","version":"1.0","type":"link"}