TY  - BOOK
AU  - Quinn,Campion
TI  - Artificial intelligence in medicine: a practical guide for clinicians 
SN  - 9789811284113
AV  - R859.7.A78 
U1  - 610.285 23
PY  - 2024///
CY  - Singapore
PB  - World Scientific
KW  - Artificial intelligence
KW  - Medical applications
KW  - Medical informatics
KW  - Electronic books
N1  - Includes bibliographical references and index; Artificial intelligence in medicine: revolutionizing healthcare -- What is artificial intelligence? -- An overview of data collection, preprocessing, and feature extraction in AI -- The benefits and opportunities of AI in medicine -- Machine learning -- Limitations in algorithmic generalizability -- Explainable AI and interpretability in medical AI models -- Ethical implications of AI in medicine -- Regulatory and legal frameworks for AI in medicine -- Healthcare worker displacement in the era of AI -- AI tools and applications in clinical practice -- Implementing AI in clinical settings -- Evaluating AI models and algorithms in healthcare -- Human-machine interaction and user experience design in AI systems for healthcare -- Patient perspectives and engagement with AI in healthcare -- AI and clinical decision support -- Collaborative learning and knowledge sharing in AI-driven healthcare -- Future trends and emerging technologies in AI-driven healthcare -- Why AI is not more prevalent in medical institutions today?
N2  - ""Artificial Intelligence in Medicine" is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses and personalized treatments, while addressing ethical and regulatory considerations. The book examines the practical aspects of AI implementation in clinical practice and emphasizes the human aspect of AI in healthcare and patient engagement. Readers can gain insights into the role of AI in clinical decision support, collaborative learning, and knowledge sharing. It concludes with a glimpse into the future of AI-driven healthcare, exploring the emerging technologies and trends in the rapidly evolving field of AI in medicine"--
UR  - https://www.worldscientific.com/worldscibooks/10.1142/13618#t=toc
ER  -