<p><i>Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics</i> compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN.</p><p>This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial
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In this issue, guest editors bring their considerable expertise to this important topic.<br><br>Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information...
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Presenting a ground-breaking view of technology trends and their impact on our society, Artificial Era contributes to the current debate about the consequences of technological innovations. Alongside different viewpoints and statistics on the use of robots...
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