Description
Handbook of Artificial Intelligence in Healthcare Vol 2: Practicalities and Prospects
Translate visionary AI concepts into tangible medical realities. Handbook of Artificial Intelligence in Healthcare Vol 2: Practicalities and Prospects delves into the real-world deployment of machine learning in clinical settings. This authoritative guide explores the operational challenges, ethical considerations, and the exciting future trajectory of medical AI, bridging the gap between laboratory research and active patient care.
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What You Will Learn:
Clinical Integration: Discover proven strategies for smoothly implementing AI diagnostic tools and management systems into existing hospital infrastructures.
Ethical & Regulatory Frameworks: Navigate the complex legal landscape, ensuring strict compliance with patient data privacy laws and ethical guidelines for AI-assisted diagnoses.
Real-World Case Studies: Analyze comprehensive case studies detailing the successful deployment of machine learning models in modern clinical trials and daily medical practice.
Future Trajectories: Anticipate the next wave of technological advancements and understand how they will fundamentally shape personalized medicine and telemedicine.
Who This Book is For: This advanced volume is indispensable for healthcare administrators, medical IT professionals, clinical researchers, and AI developers. It is the perfect resource for anyone tasked with bringing theoretical machine learning models into safe, effective, and legally compliant medical practice.
Product Details:
Format: Digital PDF Download
Authors: Chee-Peng Lim; Yen-Wei Chen; Ashlesha Vaidya; Charu Mahorkar; Lakhmi C. Jain
Publisher: Springer International Publishing
Edition: 1st Edition
Publication Date: November 28, 2022
ISBN-13: 9783030836221
ISBN-10: 3030836223
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