Latest AI and machine learning research in reimbursement for healthcare professionals.
Electrograms stored in Implantable Cardioverter Defibrillators (ICD-EGM) have been proven to convey ...
INTRODUCTION: Robotic application to cholecystectomy has dramatically increased, though its impact o...
Background: Rheumatic mitral stenosis (RMS) disproportionately affects low-resource settings where e...
Background Large-scale retrospective studies often require researchers to adjudicate outcomes or coh...
Large language models (LLMs) offer promising potential for next-visit diagnosis prediction, owing to...
Recent medical multimodal models have benefited from larger corpora, broader modality coverage, and ...
Biomedical language models (LMs) encode textual semantics but do not explicitly preserve medical cod...
Objective: The goal was to integrate structured and unstructured data from the electronic health rec...
The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over...
Automatic coding from clinical notes has been studied extensively for International Classification o...
The application of Large Language Models (LLMs) to diagnostic decision-making has garnered growing i...
Perioperative risk prediction models are often limited by narrow surgical populations, incomplete in...
Problem Authentic patient encounters are the raw material of clinical learning, yet the educational ...
It is widely assumed that continued pretraining (CPT) on a narrow, out-of-distribution corpus such a...
Pediatric electronic health records capture developmentally structured clinical trajectories, yet th...
We present a data-driven framework to predict 15-year all-cause mortality using outpatient administr...
Background Hypercapnia may indicate a primary ventilatory syndrome, a complication of another illnes...
Background: Frailty is common in acute ischemic stroke (AIS) and predicts poor outcomes, but is not ...
Background: Manual identification and abstraction of out-of-hospital cardiac arrest (OHCA) cases and...
Background. Three disease-modifying therapies (DMTs) for spinal muscular atrophy (SMA) have been app...
Scientific reasoning models for biology combine language models with foundation models trained on mu...