AI IN Digital Medicine : A Practical Guide to Artificial Intelligence, Diagnostic Support, Predictive Analytics, and Smarter Healthcare Delivery
Language: English
Published by Independently Published Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 214.09
Quantity: 2 available
Add to basketItem description from seller
Neuware - Artificial intelligence is already entering hospitals, clinics, laboratories, pharmacies, imaging centers, insurance systems, and patient-care platforms. The professionals who understand it early will not only adapt better-they will make smarter decisions, avoid costly mistakes, and stay relevant in a healthcare system that is rapidly becoming more digital, data-driven, and automated.AI in Digital Medicine is a practical guide for healthcare professionals, medical students, administrators, researchers, digital health innovators, and serious readers who want to understand how artificial intelligence is truly changing modern medicine-not through hype, but through real clinical strategy.This book breaks down how AI is being used in diagnostic support, predictive analytics, clinical decision-making, medical imaging, electronic health records, remote patient monitoring, personalized care, hospital workflow, and smarter healthcare delivery. It explains the opportunities clearly, but it also addresses the risks that many AI books ignore: bias, privacy, poor data quality, overreliance on algorithms, ethical concerns, regulation, patient safety, and the need for human oversight.What makes this book valuable is its practical focus. Instead of presenting AI as a futuristic concept or a replacement for doctors, it shows how artificial intelligence can work as a clinical partner-helping healthcare teams detect patterns earlier, reduce administrative burden, identify patient risks, support faster decisions, and improve care delivery when used responsibly.Inside, readers will discover: - How AI is reshaping diagnosis, treatment planning, and patient monitoring- Why predictive analytics is becoming essential in modern healthcare- How machine learning and natural language processing support clinical workflows- Where AI can improve efficiency, accuracy, and patient outcomes- The biggest dangers of poorly designed or poorly supervised medical AI- What clinicians, students, and healthcare leaders must understand before trusting AI tools- How digital medicine is moving healthcare from reactive care toward smarter, proactive careThis is not a technical textbook filled with confusing code. It is a clear, realistic, and professionally written guide for people who want to understand the business, clinical, ethical, and practical impact of AI in healthcare.Whether you are preparing for the future of medicine, studying digital health, leading healthcare innovation, or simply trying to understand where medicine is heading next, AI in Digital Medicine gives you the knowledge and confidence to think clearly about one of the most important transformations in healthcare today. …
Seller Inventory # 9798182023054
- Title
- AI IN Digital Medicine : A Practical Guide to Artificial Intelligence, Diagnostic Support, Predictive Analytics, and Smarter Healthcare Delivery
- Author
- Harper J. Winslow
- Publisher
- Independently Published Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798182023054
- Item weight
- 598 grams
- Dimensions
- 279x216x13 mm
Artificial intelligence is already entering hospitals, clinics, laboratories, pharmacies, imaging centers, insurance systems, and patient-care platforms. The professionals who understand it early will not only adapt better—they will make smarter decisions, avoid costly mistakes, and stay relevant in a healthcare system that is rapidly becoming more digital, data-driven, and automated.
AI in Digital Medicine is a practical guide for healthcare professionals, medical students, administrators, researchers, digital health innovators, and serious readers who want to understand how artificial intelligence is truly changing modern medicine—not through hype, but through real clinical strategy.
This book breaks down how AI is being used in diagnostic support, predictive analytics, clinical decision-making, medical imaging, electronic health records, remote patient monitoring, personalized care, hospital workflow, and smarter healthcare delivery. It explains the opportunities clearly, but it also addresses the risks that many AI books ignore: bias, privacy, poor data quality, overreliance on algorithms, ethical concerns, regulation, patient safety, and the need for human oversight.
What makes this book valuable is its practical focus. Instead of presenting AI as a futuristic concept or a replacement for doctors, it shows how artificial intelligence can work as a clinical partner—helping healthcare teams detect patterns earlier, reduce administrative burden, identify patient risks, support faster decisions, and improve care delivery when used responsibly.
Inside, readers will discover:
- How AI is reshaping diagnosis, treatment planning, and patient monitoring
- Why predictive analytics is becoming essential in modern healthcare
- How machine learning and natural language processing support clinical workflows
- Where AI can improve efficiency, accuracy, and patient outcomes
- The biggest dangers of poorly designed or poorly supervised medical AI
- What clinicians, students, and healthcare leaders must understand before trusting AI tools
- How digital medicine is moving healthcare from reactive care toward smarter, proactive care
This is not a technical textbook filled with confusing code. It is a clear, realistic, and professionally written guide for people who want to understand the business, clinical, ethical, and practical impact of AI in healthcare.
Whether you are preparing for the future of medicine, studying digital health, leading healthcare innovation, or simply trying to understand where medicine is heading next, AI in Digital Medicine gives you the knowledge and confidence to think clearly about one of the most important transformations in healthcare today.
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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