AIMC Topic: Physicians

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A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Scientific data Jun 16, 2022
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak detection through Natural Language Processing (NLP), machine learning models and deep learning tools. However, in order to train AI to facilitate these...
Artificial Intelligence Machine Learning Humans Natural Language Processing Physicians Physician-Patient Relations Interviews as Topic Respiration Disorders
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(De)troubling transparency: artificial intelligence (AI) for clinical applications.

Medical humanities May 11, 2022
Artificial intelligence (AI) and machine learning (ML) techniques occupy a prominent role in medical research in terms of the innovation and development of new technologies. However, while many perceive AI as a technology of promise and hope-one that...
Humans Artificial Intelligence Physicians
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Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 5, 2022
Artificial intelligence may improve accuracy of myocardial perfusion imaging (MPI) but will likely be implemented as an aid to physician interpretation rather than an autonomous tool. Deep learning (DL) has high standalone diagnostic accuracy for obs...
Myocardial Perfusion Imaging Coronary Artery Disease Artificial Intelligence Humans Deep Learning Tomography, Emission-Computed, Single-Photon Physicians Coronary Angiography
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Building artificial intelligence and machine learning models : a primer for emergency physicians.

Emergency medicine journal : EMJ Mar 3, 2022
There has been a rise in the number of studies relating to the role of artificial intelligence (AI) in healthcare. Its potential in Emergency Medicine (EM) has been explored in recent years with operational, predictive, diagnostic and prognostic emer...
Humans Artificial Intelligence Physicians Machine Learning Delivery of Health Care
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The inclusion of augmented intelligence in medicine: A framework for successful implementation.

Cell reports. Medicine Jan 18, 2022
Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday life activities. The implementation of AI algorithms in clinical practice has been met with some skepticism and concern, mainly because of the uneasiness th...
Clinical Decision-Making Reproducibility of Results Medicine Physicians Artificial Intelligence Humans Algorithms
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Trustworthy Augmented Intelligence in Health Care.

Journal of medical systems Jan 12, 2022
Augmented Intelligence (AI) systems have the power to transform health care and bring us closer to the quadruple aim: enhancing patient experience, improving population health, reducing costs, and improving the work life of health care providers. Ear...
Technology Intelligence Humans Artificial Intelligence Delivery of Health Care Physicians
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Artificial Intelligence to Diagnose Tibial Plateau Fractures: An Intelligent Assistant for Orthopedic Physicians.

Current medical science Dec 31, 2021
OBJECTIVE: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of tibial plateau fractures (TPFs) and further measure its validity and feasibility.
Artificial Intelligence Algorithms X-Rays Physicians Adult Feasibility Studies Humans Orthopedics Female Male Tibial Fractures
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Telemedical percussion: objectifying a fundamental clinical examination technique for telemedicine.

International journal of computer assisted radiology and surgery Nov 24, 2021
PURPOSE: While demand for telemedicine is increasing, patients are currently restricted to tele-consultation for the most part. Fundamental diagnostics like the percussion still require the in person expertize of a physician. To meet today's challeng...
Robotics Telemedicine Physicians Humans Surveys and Questionnaires Percussion
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Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study.

BMC medical informatics and decision making Nov 8, 2021
BACKGROUND: Interpretation of chest radiographs (CRs) by emergency department (ED) physicians is inferior to that by radiologists. Recent studies have investigated the effect of deep learning-based assistive technology on CR interpretation (DLCR), al...
Self-Help Devices Emergency Service, Hospital Radiography, Thoracic Physicians Deep Learning Humans
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PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

Artificial intelligence in medicine Oct 18, 2021
PURPOSE: Automatic segmentation of medical images with deep learning (DL) algorithms has proven highly successful in recent times. With most of these automation networks, inter-observer variation is an acknowledged problem that leads to suboptimal re...
Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Physicians Male Humans Neural Networks, Computer
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