AIMC Topic: Artificial Intelligence

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Could an artificial intelligence approach to prior authorization be more human?

Journal of the American Medical Informatics Association : JAMIA
Prior authorization (PA) may be a necessary evil within the healthcare system, contributing to physician burnout and delaying necessary care, but also allowing payers to prevent wasting resources on redundant, expensive, and/or ineffective care. PA h...

Application of Deep Learning Models to Improve Ulcerative Colitis Endoscopic Disease Activity Scoring Under Multiple Scoring Systems.

Journal of Crohn's & colitis
BACKGROUND AND AIMS: Lack of clinical validation and inter-observer variability are two limitations of endoscopic assessment and scoring of disease severity in patients with ulcerative colitis [UC]. We developed a deep learning [DL] model to improve,...

Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis.

Journal of the National Cancer Institute
BACKGROUND: The aim of this study is to provide a comprehensive understanding of the current landscape of artificial intelligence (AI) for cancer clinical trial enrollment and its predictive accuracy in identifying eligible patients for inclusion in ...

Predictive health intelligence: Potential, limitations and sense making.

Mathematical biosciences and engineering : MBE
We discuss the new paradigm of predictive health intelligence, based on the use of modern deep learning algorithms and big biomedical data, along the various dimensions of: a) its potential, b) the limitations it encounters, and c) the sense it makes...

Automatic Identification and Segmentation of Orbital Blowout Fractures Based on Artificial Intelligence.

Translational vision science & technology
PURPOSE: The incidence of orbital blowout fractures (OBFs) is gradually increasing due to traffic accidents, sports injuries, and ocular trauma. Orbital computed tomography (CT) is crucial for accurate clinical diagnosis. In this study, we built an a...

When will AI misclassify? Intuiting failures on natural images.

Journal of vision
Machine recognition systems now rival humans in their ability to classify natural images. However, their success is accompanied by a striking failure: a tendency to commit bizarre misclassifications on inputs specifically selected to fool them. What ...

Research Representing the Changing Landscape of Family Medicine.

Journal of the American Board of Family Medicine : JABFM
Family medicine continues to evolve in response to new technologies, new theories, and new problems to address. This issue of JABFM includes studies on the integration of artificial intelligence into primary care, thoughts on how medicine can address...

A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems.

Human reproduction (Oxford, England)
STUDY QUESTION: Can artificial intelligence (AI) algorithms developed to assist embryologists in evaluating embryo morphokinetics be enriched with multi-centric clinical data to better predict clinical pregnancy outcome?

The Future of Road Safety: Challenges and Opportunities.

The Milbank quarterly
Policy Points Traditional approaches to addressing motor vehicle crashes are yielding diminishing returns. A comprehensive strategy known as the Safe Systems approach shows promise in both advancing safety and equity and reducing motor vehicle crashe...