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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Elektronik, Elektro- und Nachrichtentechnik Artificial Intelligence in Medical Software
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Artificial Intelligence in Medical Software
Ajit Pandey, Pramod Gupta, Naresh Kumar Sehgal (Gebundene Ausgabe, Englisch)
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Beschreibung
Unlock the future of healthcare innovation with this comprehensive guide to AI and machine learning in medical software. Designed for engineers, data scientists, and healthcare leaders, this book provides a practical roadmap for developing safe, effective, and compliant AI/ML-driven medical devices. From foundational principles to advanced deployment, including Software in Medical Devices (SiMD)… and Software as a Medical Device (SaMD), this book covers everything you need to know. Explore a unique end-to-end development methodology tailored for AI-enabled solutions, cloud architectures, and regulated healthcare environments. Discover how to streamline product releases, navigate privacy and security mandates, and master global medical device regulations—all this while accelerating time to market with real-world strategies and tools. Hands-on projects and exclusive case studies, such as Apple’s Sleep Apnea Notification and Notal Vision’s Home OCT system, provide actionable insights from the cutting edge of AI-powered diagnosis and care. Whether you’re just starting or scaling enterprise-grade AI, this book teaches you how to leverage tomorrow’s innovations, including Generative AI, federated learning, edge deployment, and cloud-native best practices. Keep usability, trust, and safety at the heart of your solutions. This book bridges the technical and clinical worlds, making it your indispensable companion for building the future of intelligent healthcare. Describes each stage of AI/ML-enabled medical device development, covering both regulatory and technical requirements; Illustrates how AI/ML-enabled device development differs from traditional software development in medical devices; Includes strategies for addressing common challenges during development and regulatory review. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
02.05.2026
Sprache
Englisch
EAN
9783032108074
Herausgeber
Springer International Publishing
Sonderedition
Nein
Autor
Ajit Pandey, Pramod Gupta, Naresh Kumar Sehgal
Seitenanzahl
442
Einbandart
Gebundene Ausgabe
Schlagwörter
Medical Applications of Artificial Intelligence, AI/ML-enabled medical devices, AI/ML Enabled Medical Device security, AI/ML Enabled Medical Device risk management, medical device regulations
Thema-Inhalt
UKM - Eingebettete Systeme
MQW - Biomedizinische Technik
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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