AIMC Topic: United States

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Artificial intelligence for dermatopathology: Current trends and the road ahead.

Seminars in diagnostic pathology Jan 14, 2022
Artificial intelligence (AI), including deep learning methods that leverage neural network-based algorithms, hold significant promise for dermatopathology and other areas of diagnostic pathology in research and clinical practice. There has been signi...
Artificial Intelligence Algorithms Male United States Humans
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Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020.

Frontiers in public health Jan 11, 2022
In recent years, with the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related...
Bibliometrics Databases, Factual Humans Robotics Reproducibility of Results Artificial Intelligence United States
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Insurance payment for artificial intelligence technology: Methods used by a stroke artificial intelligence system and strategies to qualify for the new technology add-on payment.

The neuroradiology journal Jan 6, 2022
The first ever insurance reimbursement for an artificial intelligence (AI) system, which expedites triage of acute stroke, occurred in 2020 when the Centers for Medicare and Medicaid Services (CMS) granted approval for a New Technology Add-on Payment...
Humans Artificial Intelligence Stroke Medicare Centers for Medicare and Medicaid Services, U.S. Technology Aged United States
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Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.

Ophthalmology. Retina Jan 5, 2022
PURPOSE: To validate the generalizability of a deep learning system (DLS) that detects diabetic macular edema (DME) from 2-dimensional color fundus photographs (CFP), for which the reference standard for retinal thickness and fluid presence is derive...
Deep Learning United States Diabetes Mellitus Diabetic Retinopathy Retrospective Studies Tomography, Optical Coherence Macular Edema Humans
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Advancing pharmacy and healthcare with virtual digital technologies.

Advanced drug delivery reviews Jan 5, 2022
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are provid...
Artificial Intelligence Machine Learning Research Design Humans Health Information Exchange Health Care Sector Biomedical Technology Drug Development Remote Sensing Technology United States Food and Drug Administration Digital Technology Drug Industry Clinical Trials as Topic Time Factors Mobile Applications United States Drug Discovery Virtual Reality
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Translatability Analysis of National Institutes of Health-Funded Biomedical Research That Applies Artificial Intelligence.

JAMA network open Jan 4, 2022
IMPORTANCE: Despite the rapid growth of interest and diversity in applications of artificial intelligence (AI) to biomedical research, there are limited objective ways to characterize the potential for use of AI in clinical practice.
Awards and Prizes Research Support as Topic Financing, Government Financing, Organized Humans Artificial Intelligence Cohort Studies Biomedical Research United States National Institutes of Health (U.S.)
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FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.

Academic radiology Dec 27, 2021
RATIONALE AND OBJECTIVES: To assess key trends, strengths, and gaps in validation studies of the Food and Drug Administration (FDA)-regulated imaging-based artificial intelligence/machine learning (AI/ML) algorithms.
United States Humans United States Food and Drug Administration Artificial Intelligence Machine Learning Algorithms ROC Curve
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TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution.

IEEE transactions on cybernetics Dec 22, 2021
Agent-based simulation is a useful approach for the analysis of dynamic population evolution. In this field, the existing models mostly treat the migration behavior as a result of utility maximization, which partially ignores the endogenous mechanism...
Humans Neural Networks, Computer Forecasting United States Computer Simulation Decision Making China Population Dynamics
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Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA.

Scientific reports Dec 16, 2021
Machine learning (ML) has demonstrated promise in predicting mortality; however, understanding spatial variation in risk factor contributions to mortality rate requires explainability. We applied explainable artificial intelligence (XAI) on a stack-e...
Spatial Regression Humans Bronchial Neoplasms Risk Factors United States Male Models, Statistical Machine Learning Lung Neoplasms Forecasting Female
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Deep graph convolutional network for US birth data harmonization.

Journal of biomedical informatics Dec 10, 2021
In this paper, we developed a feasible and efficient deep-learning-based framework to combine the United States (US) natality data for the last five decades, with changing variables and factors, into a consistent database. We constructed a graph base...
Neural Networks, Computer Databases, Factual United States Humans
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