AIMC Topic: Practice Patterns, Physicians'
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A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.
International journal of medical informatics
Dec 31, 2022
OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurately and quickly identify patients at risk for opioid use disorder (OUD). The purpose of this study is to develop two predictive algorithms: one to pred...
Variations in Opioid Use Following Robotic Radical Prostatectomy in South Florida.
Journal of endourology
Aug 16, 2022
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid prescribing. Our objective was to quantify at-home opioid requirements following radical prostatectomy. ...
Digital pathology and artificial intelligence in translational medicine and clinical practice.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Oct 5, 2021
Traditional pathology approaches have played an integral role in the delivery of diagnosis, semi-quantitative or qualitative assessment of protein expression, and classification of disease. Technological advances and the increased focus on precision ...
Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial.
Scientific reports
Sep 13, 2021
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and ...
Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.
Diagnostic pathology
Mar 17, 2021
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine ...
Practice Patterns, Physicians'
Health Care Costs
Pathology
Attitude to Computers
Microscopy
Cost-Benefit Analysis
Image Interpretation, Computer-Assisted
Humans
Artificial Intelligence
Reproducibility of Results
Attitude of Health Personnel
Health Knowledge, Attitudes, Practice
Predictive Value of Tests
Pathologists
Adequacy and Effectiveness of Watson For Oncology in the Treatment of Thyroid Carcinoma.
Frontiers in endocrinology
Mar 3, 2021
BACKGROUND: IBM's Watson for Oncology (WFO) is an artificial intelligence tool that trains by acquiring data from the Memorial Sloan Kettering Cancer Center and learns from test cases and experts. This study aimed to analyze the adequacy and effectiv...
Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology.
The American journal of pathology
Nov 24, 2020
Significant advances in artificial intelligence (AI), deep learning, and other machine-learning approaches have been made in recent years, with applications found in almost every industry, including health care. AI is capable of completing a spectrum...
Intelligent checklists improve checklist compliance in the intensive care unit: a prospective before-and-after mixed-method study.
British journal of anaesthesia
Nov 17, 2020
BACKGROUND: We examined whether a context and process-sensitive 'intelligent' checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds.
Checklist
Artificial Intelligence
Practice Patterns, Physicians'
Patient Safety
Attitude to Computers
Quality Improvement
Health Status
Humans
Prospective Studies
Length of Stay
Teaching Rounds
Intensive Care Units
Paper
Quality Indicators, Health Care
Decision Support Systems, Clinical
Benchmarking
Practice Guidelines as Topic
Guideline Adherence
Critical Care
Clinician Perceptions of Robotic Exoskeletons for Locomotor Training After Spinal Cord Injury: A Qualitative Approach.
Archives of physical medicine and rehabilitation
Nov 7, 2020
OBJECTIVE: To describe the experiences of clinicians who have used robotic exoskeletons in their practice and acquire information that can guide clinical decisions and training strategies related to robotic exoskeletons.
Consent for publication: why it matters now more than ever.
Clinical and experimental dermatology
Sep 2, 2020
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