9798185014356 - trustworthy medical ai: a builder's guide to safe, compliant software as a medical device di yadav, rajeev (6 risultati)
- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 31,32
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 30,13
EUR 3,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 52,00
EUR 61,09 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware.
- Brossura
- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 38,78
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Print on Demand.
- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,84
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The model is never the problem. The architecture around it is. Clinical 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 int…o 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. Trustworthy Medical AI 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. Inside, you'll learn how to: Design the five-stage feedback loop - Define, Build, Verify, Deploy, Learn - that keeps a human meaningfully in commandMap your architecture cleanly onto IEC 62304 and ISO 14971, so compliance becomes a byproduct of good engineering, not a scramble before submissionSatisfy the FDA's Total Product Life Cycle approach and the EU AI Act's human-oversight requirementsRecognize the failure patterns - validation gaps, silent drift, alert fatigue - before they reach a patientPrepare for the generative and agentic AI frontier, where the loop matters more, not lessEvery 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. This book is for: 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. How 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 34,25
EUR 43,19 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The model is never the problem. The architecture around it is. Clinical 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 int…o 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. Trustworthy Medical AI 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. Inside, you'll learn how to: Design the five-stage feedback loop - Define, Build, Verify, Deploy, Learn - that keeps a human meaningfully in commandMap your architecture cleanly onto IEC 62304 and ISO 14971, so compliance becomes a byproduct of good engineering, not a scramble before submissionSatisfy the FDA's Total Product Life Cycle approach and the EU AI Act's human-oversight requirementsRecognize the failure patterns - validation gaps, silent drift, alert fatigue - before they reach a patientPrepare for the generative and agentic AI frontier, where the loop matters more, not lessEvery 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. This book is for: 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. How 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
