AIMC Topic: Practice Guidelines as Topic

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ASO Author Reflections: Resection for Hepatocellular Carcinoma Beyond the BCLC Guidelines-How Can Machine Learning Techniques Help?

Annals of surgical oncology Nov 4, 2019
Carcinoma, Hepatocellular Tumor Burden Practice Guidelines as Topic Hepatectomy Humans Machine Learning Liver Neoplasms
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Recommendations and future directions for supervised machine learning in psychiatry.

Translational psychiatry Oct 22, 2019
Machine learning methods hold promise for personalized care in psychiatry, demonstrating the potential to tailor treatment decisions and stratify patients into clinically meaningful taxonomies. Subsequently, publication counts applying machine learni...
Humans Mental Disorders Psychiatry Supervised Machine Learning Practice Guidelines as Topic
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Predicting translational progress in biomedical research.

PLoS biology Oct 10, 2019
Fundamental scientific advances can take decades to translate into improvements in human health. Shortening this interval would increase the rate at which scientific discoveries lead to successful treatment of human disease. One way to accomplish thi...
Bibliometrics Periodicals as Topic Translational Research, Biomedical Practice Guidelines as Topic Clinical Trials as Topic Machine Learning Biomedical Research Time Factors Humans
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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Journal of the American College of Radiology : JACR Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
North America Societies, Medical Codes of Ethics Europe Radiology Practice Guidelines as Topic Humans Artificial Intelligence
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Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

PloS one Aug 22, 2019
Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently, the United States Preventative Services Task Force (USPSTF) recommends anyone ages 50-75 and/or with a family history to be screened for CRC. To impr...
Models, Statistical Self Report Practice Guidelines as Topic Diabetes Mellitus Health Status Early Detection of Cancer Medical History Taking Colorectal Neoplasms Male Cardiovascular Diseases Middle Aged Health Surveys United States Female Risk Factors Aged Humans Neural Networks, Computer Prognosis
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Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.

Journal of the American College of Radiology : JACR Jul 15, 2019
Artificial intelligence (AI) will reshape radiology over the coming years. The radiology community has a strong history of embracing new technology for positive change, and AI is no exception. As with any new technology, rapid, successful implementat...
Medical Informatics Applications Diffusion of Innovation Practice Guidelines as Topic Societies, Medical Radiology Registries Humans Artificial Intelligence
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Toward systematic review automation: a practical guide to using machine learning tools in research synthesis.

Systematic reviews Jul 11, 2019
Technologies and methods to speed up the production of systematic reviews by reducing the manual labour involved have recently emerged. Automation has been proposed or used to expedite most steps of the systematic review process, including search, sc...
Humans Machine Learning Evidence-Based Medicine Systematic Reviews as Topic Practice Guidelines as Topic Automation
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Commentary: Position statement on augmented intelligence (AuI).

Journal of the American Academy of Dermatology Jun 25, 2019
Algorithms Dermatology Practice Guidelines as Topic Humans Artificial Intelligence
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Aged Male Ventricular Function, Left Cardiac Resynchronization Therapy Middle Aged Humans Progression-Free Survival Risk Assessment Practice Guidelines as Topic Stroke Volume Echocardiography Ohio Clinical Decision-Making Baltimore Machine Learning Female Heart-Assist Devices Decision Support Techniques Risk Factors Heart Transplantation Retrospective Studies Predictive Value of Tests Patient Selection Heart Failure Disease Progression Time Factors Recovery of Function
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Artificial Intelligence in Medical Education: Best Practices Using Machine Learning to Assess Surgical Expertise in Virtual Reality Simulation.

Journal of surgical education Jun 13, 2019
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, generating enormous datasets which can be further analyzed with machine learning algorithms. These advancements may increase the understanding, assessment ...
Practice Guidelines as Topic Education, Medical, Graduate Simulation Training Virtual Reality Educational Measurement General Surgery Artificial Intelligence Machine Learning Clinical Competence
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