AIMC Topic: United States
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AI-Drafted Responses to Patients Reduced Clinician Burnout.
JAMA
May 7, 2024
Artificial intelligence-based assessment of built environment from Google Street View and coronary artery disease prevalence.
European heart journal
May 7, 2024
BACKGROUND AND AIMS: Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the...
Artificial intelligence in Medicare: utilization, spending, and access to AI-enabled clinical software.
The American journal of managed care
May 1, 2024
OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified ...
Equity and AI governance at academic medical centers.
The American journal of managed care
May 1, 2024
OBJECTIVES: To understand whether and how equity is considered in artificial intelligence/machine learning governance processes at academic medical centers.
Understanding the complexities of equity within the emergence and utilization of AI in academic medical centers.
The American journal of managed care
May 1, 2024
This editorial discusses positions for academic medical centers to consider when designing and implementing artificial intelligence (AI) tools.
Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system.
The Lancet. Digital health
May 1, 2024
BACKGROUND: In the context of immune-mediated inflammatory diseases (IMIDs), COVID-19 outcomes are incompletely understood and vary considerably depending on the patient population studied. We aimed to analyse severe COVID-19 outcomes and to investig...
A Semiautonomous Deep Learning System to Reduce False Positives in Screening Mammography.
Radiology. Artificial intelligence
May 1, 2024
Purpose To evaluate the ability of a semiautonomous artificial intelligence (AI) model to identify screening mammograms not suspicious for breast cancer and reduce the number of false-positive examinations. Materials and Methods The deep learning alg...
Impact of AI for Digital Breast Tomosynthesis on Breast Cancer Detection and Interpretation Time.
Radiology. Artificial intelligence
May 1, 2024
Purpose To develop an artificial intelligence (AI) model for the diagnosis of breast cancer on digital breast tomosynthesis (DBT) images and to investigate whether it could improve diagnostic accuracy and reduce radiologist reading time. Materials an...
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan.
Radiology. Artificial intelligence
May 1, 2024
Purpose To evaluate the impact of an artificial intelligence (AI) assistant for lung cancer screening on multinational clinical workflows. Materials and Methods An AI assistant for lung cancer screening was evaluated on two retrospective randomized m...
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