Artificial Intelligence in Medicine 1st edition (first edition)

About this book

Artificial Intelligence in Medicine 1st edition by Niklas Lidstromer and Hutan Ashrafian provides a multidisciplinary reference on the development and application of artificial intelligence across medicine and healthcare. The book connects computer science, clinical medicine, biomedical research, and health data science to explain how intelligent systems can support diagnosis, treatment planning, prediction, monitoring, and healthcare delivery.

The 1st edition examines machine learning, deep learning, neural networks, medical imaging, natural language processing, clinical decision support, predictive analytics, precision medicine, digital health, medical robotics, and data driven approaches to patient care. It also addresses applications across medical specialties together with implementation challenges, data quality, validation, privacy, ethics, regulation, and responsible use of artificial intelligence in healthcare.

This reference is intended for clinicians, medical researchers, biomedical scientists, health informatics professionals, data scientists, and advanced students studying artificial intelligence in healthcare. Its multidisciplinary organization makes it useful for understanding both the technical foundations of artificial intelligence and the clinical considerations involved in translating computational methods into medical research and practice.

Clinicians, researchers, health informatics specialists, biomedical professionals, and students can use this 2022 edition to examine current artificial intelligence methods, compare clinical applications, understand implementation challenges, and explore emerging directions in digital medicine. The complete 1st edition is available as a searchable PDF enhanced digital version with instant access for research, coursework, professional education, and medical artificial intelligence reference.