AIMC Topic: United States Food and Drug Administration

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Lifecycle Regulation of Artificial Intelligence- and Machine Learning-Based Software Devices in Medicine.

JAMA Dec 17, 2019
Software United States United States Food and Drug Administration Government Regulation Humans Artificial Intelligence Machine Learning
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Hunting for New Drugs with AI.

Nature Dec 1, 2019
Prostatic Neoplasms Drug-Related Side Effects and Adverse Reactions United States Food and Drug Administration Drug Industry Cytochrome P-450 Enzyme System Drug Approval Cytochrome P-450 Enzyme Inhibitors Drug Design Drug Discovery United States Parkinson Disease Artificial Intelligence Machine Learning Male Humans
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Rise of Robot Radiologists.

Nature Dec 1, 2019
Female Sensitivity and Specificity Diagnostic Errors Breast Neoplasms Diabetic Retinopathy Tomography, X-Ray Computed Clinical Decision-Making Mammography Triage Robotics Radiology Cardiovascular Diseases Diagnosis, Computer-Assisted Deep Learning United States Humans Practice Guidelines as Topic Uncertainty Confounding Factors, Epidemiologic Cell Phone Retina Tuberculosis United States Food and Drug Administration Datasets as Topic Bias Radiologists Healthcare Disparities
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How Artificial Intelligence Will Change Medicine.

Nature Dec 1, 2019
Diagnostic Imaging Data Mining United States Food and Drug Administration Datasets as Topic Drug Discovery Deep Learning United States Drug Industry Humans Artificial Intelligence Medicine Biomedical Research
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Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed.

Nature medicine Oct 1, 2019
Humans Artificial Intelligence United States United States Food and Drug Administration Guidelines as Topic Clinical Trials as Topic
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Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final approval. We aimed to develop a ma...
Humans Machine Learning Algorithms Clinical Trials, Phase I as Topic United States Food and Drug Administration Medical Oncology Medical Informatics Drug Approval Reproducibility of Results Antineoplastic Agents United States
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Regulation of predictive analytics in medicine.

Science (New York, N.Y.) Feb 22, 2019
Decision Support Techniques United States Benchmarking United States Food and Drug Administration Evidence-Based Medicine Humans Artificial Intelligence Algorithms
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FDA backs clinician-free AI imaging diagnostic tools.

Nature biotechnology Aug 6, 2018
Radius Fractures Stroke United States Food and Drug Administration Device Approval Artificial Intelligence Image Processing, Computer-Assisted United States Diagnostic Imaging Humans
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Radiology in 2018: Are You Working with AI or Being Replaced by AI?

Radiology May 1, 2018
United States Magnetic Resonance Imaging Radiology Stroke Tomography, X-Ray Computed Peer Review Clinical Competence Workforce United States Food and Drug Administration Decision Making, Computer-Assisted Humans Artificial Intelligence Algorithms
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration United States Adverse Drug Reaction Reporting Systems Machine Learning Models, Theoretical ROC Curve Support Vector Machine Logistic Models Natural Language Processing
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