AI in Healthcare Vol. 1. Dieser Artikel ist nicht verfügbar.
Sprache: Englisch
Verlag: Aurorawriters.com, 2026
- Hardcover
- Neu

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Hardcover
Zustand: Neu
EUR 67,80
Artikelbeschreibung des Verkäufers
New Book. Shipped from UK. Established seller since 2000.
Bestandsnummer des Verkäufers L2-9781918868630
- Titel
- AI in Healthcare Vol. 1
- Autor
- Sanbar, S. Sandy
- Verlag
- Aurorawriters.com
- Erscheinungsjahr
- 2026
- Zustand
- New
- Einband
- HRD
- Sprache
- Englisch
- ISBN-10
- 1918868638
- ISBN-13
- 9781918868630
- Artikelgewicht
- 603 Gramm
- Serie
- Buch 1 von 2: AI in Healthcare
Artificial intelligence is transforming medicine faster than curricula can adapt. But how do you harness AI safely, ethically, and effectively without compromising clinical judgment or navigating liability blind?
In AI in Healthcare (Vol. 1), Dr. S. Sandy Sanbar delivers a clinically grounded, 2026-updated roadmap designed specifically for healthcare professionals. This is not a coding manual—it’s a strategic guide to reasoning in an AI-enabled world. You’ll learn how to interpret AI outputs responsibly, integrate intelligent tools into daily workflows, navigate emerging legal and ethical frameworks, and maintain human oversight in hybrid clinical environments.
Inside, you’ll discover:
Stop guessing how AI will change your practice. Start mastering it.
Scroll up, click “Buy Now,” and step confidently into the future of AI-enabled healthcare.
In AI in Healthcare (Vol. 1), Dr. S. Sandy Sanbar delivers a clinically grounded, 2026-updated roadmap designed specifically for healthcare professionals. This is not a coding manual—it’s a strategic guide to reasoning in an AI-enabled world. You’ll learn how to interpret AI outputs responsibly, integrate intelligent tools into daily workflows, navigate emerging legal and ethical frameworks, and maintain human oversight in hybrid clinical environments.
Inside, you’ll discover:
- How generative AI, multimodal models, and predictive systems are reshaping diagnostics, documentation, and patient care
- Practical frameworks for governance, bias mitigation, transparency, and clinical accountability
- How to evaluate AI tools for safety, equity, and regulatory compliance
- The evolving legal landscape, liability boundaries, and malpractice considerations for AI-augmented practice
- Forward-looking insights on digital twins, humanoid support, and anticipatory care models
Stop guessing how AI will change your practice. Start mastering it.
Scroll up, click “Buy Now,” and step confidently into the future of AI-enabled healthcare.
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