Artificial Intelligence in Clinical Practice

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Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles the current research on Artificial Intelligence within each medical subspecialty for use as a reference to assist with diagnosis, clinical decision making, disease prediction and prevention, and the facilitation of precision medicine. It defines the basic concepts of big data and AI in medicine, and highlights the current applications, challenges, ethical issues, and biases associated with the implementation of AI in medicine. Each chapter discusses AI applied to a specific medical subspecialty: primary care and preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary and critical care, rheumatology, surgery, and OB-GYN. It is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested to learn more about artificial intelligence technologies applied to medicine.