Latest AI and machine learning research in health policy for healthcare professionals.
Echocardiography is a cornerstone of cardiovascular care but relies on expert interpretation and man...
Introduction: Achieving equity in translational precision medicine requires the integration of genom...
Missed appointments represent a double-edged sword in community health settings. Policies designed t...
The quality and integrity of scientific publications in clinical machine-learning is of paramount im...
Tumor necrosis factor inhibitors (TNFi) are widely used for auto-immune conditions. Despite their ef...
Objective: (1) develop and test a novel, open-source, supervised machine learning model to detect to...
Prior authorization (PA) rules are neither regulated nor standardized. To quantify the variation in ...
Correctional facilities can act as amplifiers of infectious disease outbreaks. Small community outbr...
Coronary revascularization decision-making can be challenging. While artificial intelligence (AI) mo...
This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...
To develop a segmentation and quality control pipeline for short-axis cardiac magnetic resonance (CM...
Assessing the risk of future atherosclerotic cardiovascular disease (ASCVD) is crucial in clinical p...
The management of cancer care generates vast amounts of data, collected in the clinical registry; ho...
Access to trustworthy artificial intelligence (AI) models for clinical applications like emergency c...
Many neurological conditions negatively affect a person’s walking quality, which is a vital aspect o...
Real-world ocular imaging datasets are essential for advancing research in artificial intelligence (...
The propagation of tobacco-related misinformation significantly impacts public health, particularly ...
Large language models (LLMs) have emerged as powerful tools for sentiment analysis in healthcare, of...
Patient satisfaction feedback is crucial for hospital service quality, but manual reviews are not po...
Hospitals are increasingly adopting artificial intelligence (AI) tools in clinical care. However, th...
As the use of AI in healthcare is rapidly expanding, there is also growing recognition of the need f...