AI in Clinical Diagnosis, Prediction, and Patient Care

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.