Overview

Artificial intelligence (AI) shapes clinical medicine by enhancing diagnosis, prediction, and patient care. Through advanced techniques like machine learning and data analytics, AI systems identify patterns in complex medical data, enabling earlier and more accurate detection of diseases and improved risk prediction. These technologies support clinicians in decision-making and help personalize treatment plans based on individual patient profiles. As AI becomes more integrated into healthcare settings, it may improve efficiency, reduce errors, and deliver more patient-centered care, while raising important questions around ethics, trust, and implementation. AI in Clinical Diagnosis, Prediction, and Patient Care explores how AI supports clinical diagnosis, predicts health outcomes, and enhances patient care. It examines the effectiveness, challenges, and ethical considerations of integrating AI technologies into medical practice. This book covers topics such as medical diagnostics, deep learning, and intelligent imaging, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.

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Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. She completed four postdoctoral programs respectively in Mathematical and Computational Science with University of Toronto Mississauga, in Innovation and Governance with University of Toronto, in Management of Technology with Université du Québec à Montréal, and in Technological Economics with Harbin Institute of Technology. Dr. Zhao's research expertise includes management of technology innovation, innovation and entrepreneurship, behaviour and information technology, human-computer interaction, and science and technology policy. She has teaching experience of 15 years at the graduate and undergraduate level. Research portfolio includes peer-reviewed articles in highly regarded journals, authored books, multiple book chapters, and conference presentations. Dr. Zhao also has extensive industry experience and provides consulting services to major corporations, such as China Mobile. She serves as editor-in-chief of International Journal of e-Collaboration (IJeC).

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