AIMC Topic: Practice Guidelines as Topic

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[Artificial intelligence: Guidelines for internists].

La Revue de medecine interne Dec 31, 2019
Following the emergence of open public databases and connected objects, big data and artificial intelligence are developing rapidly, especially in medicine, with many opportunities ranging from complex diagnostic assistance to real-time statistical a...
Physicians Big Data Education, Medical, Continuing Humans Artificial Intelligence Databases, Factual Practice Guidelines as Topic Practice Patterns, Physicians' Internal Medicine
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Evolving artificial neural networks with feedback.

Neural networks : the official journal of the International Neural Network Society Dec 14, 2019
Neural networks in the brain are dominated by sometimes more than 60% feedback connections, which most often have small synaptic weights. Different from this, little is known how to introduce feedback into artificial neural networks. Here we use tran...
Feedback Deep Learning Practice Guidelines as Topic
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Utilizing Machine Learning for Pre- and Postoperative Assessment of Patients Undergoing Resection for BCLC-0, A and B Hepatocellular Carcinoma: Implications for Resection Beyond the BCLC Guidelines.

Annals of surgical oncology Nov 6, 2019
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular carcinoma (HCC) beyond the Barcelona Clinic Liver Cancer (BCLC) guidelines. We sought to determine the factors that held the most prognostic weight in th...
Carcinoma, Hepatocellular Follow-Up Studies Neoplasm Staging Middle Aged Postoperative Complications Liver Neoplasms Preoperative Care Tumor Burden Practice Guidelines as Topic Hepatectomy Retrospective Studies Female Aged Survival Rate Biomarkers, Tumor Male Humans Machine Learning
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The Clinical Pharmacogenetics Implementation Consortium: 10 Years Later.

Clinical pharmacology and therapeutics Nov 5, 2019
In 2009, the Clinical Pharmacogenetics Implementation Consortium (CPIC, www.cpicpgx.org), a shared project between Pharmacogenomics Knowledge Base (PharmGKB, http://www.pharmgkb.org) and the National Institutes of Health (NIH), was created to provide...
Humans Databases, Factual Electronic Health Records Pharmacogenetics Knowledge Bases 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
Humans Machine Learning Tumor Burden Practice Guidelines as Topic Hepatectomy Liver Neoplasms Carcinoma, Hepatocellular
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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...
Mental Disorders Psychiatry Supervised Machine Learning Practice Guidelines as Topic Humans
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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...
Humans Machine Learning Clinical Trials as Topic Periodicals as Topic Translational Research, Biomedical Biomedical Research Practice Guidelines as Topic Time Factors Bibliometrics
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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...
Codes of Ethics North America Societies, Medical Humans Artificial Intelligence Europe Radiology Practice Guidelines as Topic
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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...
Aged Early Detection of Cancer Practice Guidelines as Topic United States Models, Statistical Prognosis Colorectal Neoplasms Medical History Taking Diabetes Mellitus Self Report Cardiovascular Diseases Female Male Health Status Humans Risk Factors Middle Aged Neural Networks, Computer Health Surveys
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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...
Societies, Medical Medical Informatics Applications Diffusion of Innovation Practice Guidelines as Topic Artificial Intelligence Radiology Registries Humans
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