AIMC Topic: United States
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Does machine learning improve prediction of VA primary care reliance?
The American journal of managed care
Jan 1, 2020
OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are dual users of Medicare, and little research has examined methods to most accurately predict which vete...
Financing Artificial Intelligence in Medical Imaging: Show Me the Money.
Journal of the American College of Radiology : JACR
Jan 1, 2020
How the FDA Regulates AI.
Academic radiology
Jan 1, 2020
Recent years have seen digital technologies increasingly leveraged to multiply conventional imaging modalities' diagnostic power. Artificial intelligence (AI) is most prominent among these in the radiology space, touted as the "stethoscope of the 21s...
Lifecycle Regulation of Artificial Intelligence- and Machine Learning-Based Software Devices in Medicine.
JAMA
Dec 17, 2019
Hunting for New Drugs with AI.
Nature
Dec 1, 2019
Parkinson Disease
Prostatic Neoplasms
Male
Drug Industry
Drug-Related Side Effects and Adverse Reactions
Drug Design
Humans
Cytochrome P-450 Enzyme System
United States Food and Drug Administration
Drug Discovery
Artificial Intelligence
Drug Approval
United States
Machine Learning
Cytochrome P-450 Enzyme Inhibitors
Rise of Robot Radiologists.
Nature
Dec 1, 2019
Datasets as Topic
Practice Guidelines as Topic
Uncertainty
Confounding Factors, Epidemiologic
Cell Phone
Healthcare Disparities
Clinical Decision-Making
Retina
United States
Radiology
Female
Tuberculosis
Humans
Breast Neoplasms
Bias
Sensitivity and Specificity
United States Food and Drug Administration
Mammography
Diabetic Retinopathy
Cardiovascular Diseases
Radiologists
Diagnostic Errors
Triage
Tomography, X-Ray Computed
Diagnosis, Computer-Assisted
Robotics
Deep Learning
How Artificial Intelligence Will Change Medicine.
Nature
Dec 1, 2019
The role of artificial intelligence and machine learning in predicting orthopaedic outcomes.
The bone & joint journal
Dec 1, 2019
This annotation briefly reviews the history of artificial intelligence and machine learning in health care and orthopaedics, and considers the role it will have in the future, particularly with reference to statistical analyses involving large datase...
Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.
JAMA otolaryngology-- head & neck surgery
Dec 1, 2019
IMPORTANCE: Predicting survival of oral squamous cell carcinoma through the use of prediction modeling has been underused, and the development of prediction models would augment clinicians' ability to provide absolute risk estimates for individual pa...
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