Introduction to Medical Artificial Intelligence

Erscheinungsjahr 2027
ISBN: 978-981-9283-14-9
Verlag: Springer Singapore

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Dive into the transformative world of artificial intelligence (AI) in medicine with this comprehensive guide, crafted to empower medical students, doctors, and researchers. This book unveils how AI revolutionizes healthcare, addressing critical needs by enhancing skills, solving complex medical challenges, and boosting professional competitiveness.

Explore a wide-ranging overview of AI’s applications in medicine, from foundational concepts to cutting-edge advancements like machine learning and deep learning. The book delves into practical use cases, such as medical imaging recognition, diagnostic predictions, medical robotics, drug development, and healthcare management. Through real-world case studies, readers will grasp how to apply AI techniques and algorithms to tackle medical problems, improve service quality, and enhance efficiency. Key highlights include in-depth discussions on AI development tools, frameworks, and future trends like generative AI, ensuring you stay ahead in this rapidly evolving field.

Designed for readers with a basic understanding of mathematics and programming, this book offers a robust knowledge framework, blending theory with hands-on applications. Authored by leading experts from the community, it combines academic rigor with practical insights, setting it apart from other texts. Whether you're aiming to elevate your expertise, address pressing healthcare challenges, or explore AI’s potential, this book equips you with the tools to transform medical practice and advance your career.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Jiang, Jimmy Liu

Li, Heng

Yao, Chenglin

Chen, Jie

Inhaltsverzeichnis

.- Chapter 1: Introduction to Medical Artificial Intelligence.- Chapter 2: Machine Learning in Medical AI.- Chapter 3: Medical Applications of Machine Learning.- Chapter 4: Deep Learning in Medical AI.- Chapter 5: Medical Applications of Deep Learning.- Chapter 6: Medical AI Development.- Chapter 7: Future Outlook for Medical AI.

Über Autor(innen)

Jimmy Liu Jiang, Chair Professor in the Department of Computer Science and Engineering, Program Director of Artificial Intelligence at the Southern University of Science and Technology (SUSTech), and Distinguished Professor at SUSTech Hospital. He previously served as Chair of the IEEE Engineering in Medicine and Biology Society (EMBS) Singapore Chapter, Principal Scientist of the Singapore Eye Research Institute, and Director of the Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences. In AI ophthalmology research, he has published more than 500 research papers covering AI-based ophthalmic image processing, AI ophthalmic video analysis, and AI-guided ophthalmic surgical navigation. For AI in education, he has taught core university courses and authored five supporting textbooks: Introduction to Artificial Intelligence, Multimedia Computing for Artificial Intelligence, Introduction to Medical Artificial Intelligence, Intelligent Ophthalmic Imaging Technology, and Introduction to AI in Education. He has been consecutively honored as one of SUSTech’s Most Popular Teachers among undergraduate graduates for the past three years. Internationally, he is an Advisor to the UNESCO (United Nations Educational, Scientific and Cultural Organization) International Centre for Higher Education Innovation. His three online micro-credential courses AI+Medicine, AI+Education, and AI+Ophthalmic Healthcare are hosted on the UNESCO IIOE platform, available in English, French, Spanish and Russian.

Heng Li is an Assistant Professor in the School of Biomedical Engineering at Shenzhen University of Advanced Technology (SUAT). He was previously an Assistant Professor at the Southern University of Science and Technology. He received his Ph.D. from the Beijing Institute of Technology. His research focuses on computer-aided diagnosis, medical image processing, and artificial intelligence in healthcare. He has published extensively in top-tier journals and conferences, including IEEE Transactions on Medical Imaging and MICCAI.

Chenglin Yao is a Postdoctoral Researcher with Prof. Jimmy Liu at the Southern University of Science and Technology. He holds a PhD in Computer Science and Operations Research from the University of Nottingham. His research focuses on biomedical signal processing, sensor array signal processing, and low vision. He has published his work in top-tier conferences and journals, including AAAI, MICCAI, IEEE TIFS, and JBHI.

Jie Chen, MD, PhD, is a Professor and the current President of the Eye Hospital of Wenzhou Medical University. As one of China’s pioneering experts in low vision research, she established the nation’s first Low Vision and Visual Rehabilitation Demonstration Center.