Fundamentals of Artificial Intelligence in Medicine is a comprehensive medical textbook for students, clinicians, healthcare educators, informatics professionals, and medical leaders who want to understand how artificial intelligence is reshaping modern healthcare.
Written with a clear academic voice, this book explains the foundations of AI in medicine, including machine learning, deep learning, clinical decision support, medical imaging, natural language processing, digital diagnostics, genomics, therapeutics, ethics, privacy, safety, validation, bias, workflow integration, and responsible implementation.
The book connects technical concepts to real clinical practice, showing how AI can support diagnosis, risk prediction, documentation, imaging interpretation, personalized treatment, patient safety, and healthcare system improvement. Rather than treating AI as a replacement for clinicians, it presents artificial intelligence as a clinical tool that must be understood, validated, governed, and safely integrated into patient care.
Inside, readers will find practical explanations of medical data sources, algorithmic reasoning, clinical AI workflows, model evaluation, bias reduction, human factors, governance, and future directions in responsible medical intelligence. Each chapter is structured to support deep learning, practical application, and professional understanding.
Ideal for medical students, nursing students, clinicians, healthcare administrators, digital health professionals, biomedical science learners, and anyone preparing for the future of AI-enabled medicine, this book provides a strong foundation for understanding both the promise and the responsibilities of artificial intelligence in healthcare.
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798162348979
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware. N° de réf. du vendeur 9798162348979
Quantité disponible : 2 disponible(s)