Krittanawong C. Artificial Intelligence in Clinical Practice...2024 torrent

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Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics 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.This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine.
Artificial intelligence in primary care
Artificial intelligence in general internal medicine
Artificial intelligence devices and assessment in medical imaging
Artificial intelligence in anatomical pathology
Artificial intelligence in clinical microbiology
Artificial intelligence on interventional cardiology
Artificial intelligence in heart failure and transplant
Artificial intelligence in hematology
Artificial intelligence in oncology
Artificial intelligence in ophthalmology I: retinal diseases
Artificial intelligence in ophthalmology II: glaucoma
Artificial intelligence in ophthalmology III: systemic disease prediction
Artificial intelligence in respiratory medicine
Artificial intelligence in critical care
Artificial intelligence in dermatopathology
Artificial intelligence in infectious diseases
Artificial intelligence in neglected tropical diseases
Artificial intelligence in psychiatry: current practice and major challenges
Application of artificial intelligence frameworks in the clinical practice of neurology: recent advances and future directions
Artificial intelligence in rheumatology