Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science

Artificial Intelligence for Improved Patient Outcomes: Principles for Moving Forward with Rigorous Science By BYRNE, DANIEL W. Published by WOLTERS KLUWER HEALTH Publication Date: 2023-04-06 Subject: Medical Informatics, Medical, Informatics, Computers Artificial Intelligence Expert Systems, Medical Administration, Medical Biostatistics, Medical Clinical Medicine, Medical Epidemiology, Medical Informatics, Medical Internal Medicine, Medical Administration, Medical Biostatistics, Medical Biotechnology, Medical Diagnostic Imaging - General, Medical Ethics, Medical Evidence-Based Medicine, Medical Family & General Practice, Medical Health Care Delivery, Medical Health Risk Assessment, Medical Hospital Administration & Care, Medical Informatics, Medical Internal Medicine, Medical Preventive Medicine, Medical Research, Clinical & Internal Medicine, Epidemiology & Medical Statistics, Expert Systems Knowledge-Based Systems, Medical Administration & Management, Medical Bioinformatics, Medicine: General Issues, Clinical And Internal Medicine, Epidemiology And Medical Statistics, Medical Administration And Management, Medical And Health Informatics Subject Keywords: AI in healthcare; Health outcomes; Pragmatic AI studies; Biostatistics; Medical research; Reproducible AI research; Medical journals; Key concepts; AI implementation; Career guidance; Evaluating AI tools; Avoiding hype; Healthcare professionals; Physician-scientists; AI developers; Entrepreneurs; Healthcare leaders; artificial intelligence in medicine; AI applications in medicine; biotechnology; clinical applications; deep learning; machine learning; Algorithms; data science in medicine; artificial intelligence entrepreneurs; IBM watson; healthcare information management; cleaning data sets; careers in AI; artificial intelligence in health care; predictive modeling; neural networks; geoffrey hinton; AI models; randomization; randomized controlled trials; predictive models in medicine; electronic health records; AI and IRB, AI in healthcare;Health outcomes;Pragmatic AI studies;Biostatistics;Medical research;Reproducible AI research;Medical journals;Key concepts;AI implementation;Career guidance;Evaluating AI tools;Avoiding hype;Healthcare professionals;Physician-scientists;AI developers;Entrepreneurs;Healthcare leaders;artificial intelligence in medicine;AI applications in medicine;biotechnology;clinical applications;deep learning;machine learning;Algorithms;data science in medicine;artificial intelligence entrepreneurs;IBM watson;healthcare information management;cleaning data sets;careers in AI;artificial intelligence in health care;predictive modeling;neural networks;geoffrey hinton;AI models;randomization;randomized controlled trials;predictive models in medicine;electronic health records;AI and IRB Genre: Medical, Informatics Target Audience: Professional and scholarly