Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics
- 12h 16m
- Chayakrit Krittanawong
- Elsevier Science and Technology Books, Inc.
- 2023
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.
- Provides the history and overview of the various modalities of AI and their applications within each field of medicine
- Discusses current AI-based medical research, including landmark trials within each field of medicine
- Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice
- Encompasses examples of specific cases and discusses challenges and biases associated with AI
About the Author
Dr. Chayakrit Krittanawong is a leading authority in AI and space health research in medicine. He’s one of the few cardiologists chosen from all over the world to oversee, commission, and review the American College of Cardiology Expert Consensus Decision Pathway and the American Heart Association guidelines on performance measures. He’s a clinician-scientist interested in precision space medicine, using integrative omics and emerging technologies such as artificial intelligence and blockchain to assist physicians and patients worldwide. His primary research interests include bioinformatics, big data analytics, multi-omics, machine learning, deep learning, digital health, wearable technology, and preventive medicine. Dr. Krittanawong is an author on 160+ peer-reviewed publications and co-inventor on many medical patents. He’s received numerous awards from various societies and organizations for his work in artificial intelligence, medical physics, and medical imaging. He’s lectured at the American College of Cardiology and American Heart Association in the United States and abroad.
In this Book
-
Foreword
-
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
-
Artificial Intelligence in Endocrinology
-
Artificial Intelligence in Sleep Medicine
-
Artificial Intelligence in Nephrology
-
Artificial Intelligence in Surgery
-
Artificial Intelligence in Cardiothoracic Surgery: Current Applications and Future Perspectives
-
Artificial Intelligence in Orthopedics
-
Artificial Intelligence in Plastic Surgery
-
Artificial Intelligence in Obstetrics and Gynecology
-
Artificial Intelligence in Urology
-
Artificial Intelligence in Neurosurgery—A Focus on Neuro-Oncology
-
Artificial Intelligence in Vascular Surgery
-
Artificial Intelligence in Neonatal and Pediatric Intensive Care Units
-
Artificial Intelligence in Pediatrics
-
Artificial Intelligence in Pediatric Congenital and Acquired Heart Disease
-
Artificial Intelligence in Anesthesiology
-
Artificial Intelligence in Emergency Medicine
-
Artificial Intelligence in Allergy and Immunology
-
Artificial Intelligence in Medical Genetics
-
Artificial Intelligence in Healthcare: A Perspective from Google
-
Artificial Intelligence Drives the Digital Transformation of Pharma
-
Artificial Intelligence in Regulatory Decision-Making for Drug and Biological Products
-
Machine Learning Applications in Toxicology
-
Artificial Intelligence in Adverse Drug Events
-
Artificial Intelligence in Mass Spectrometry-Based Proteomics
-
Artificial Intelligence and Global Health
-
Legal Aspects of Artificial Intelligence in Medical Practice
-
Socioeconomic Bias in Applying Artificial Intelligence Models to Health Care
-
Artificial Intelligence in Dermatology
-
Artificial Intelligence in Gastroenterology and Hepatology
-
Artificial Intelligence in Nutrition Research
-
Artificial Intelligence in Cardiac Electrophysiology
