Latest AI and machine learning research in information technology for healthcare professionals.
Background: Electronic health records (EHRs) with clinical decision support tools are now ubiquitous...
Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can...
As Large Language Model (LLM) agents transition from single-session tools to persistent systems mana...
Background Timely detection is crucial to improve outcomes in patients with cardiac amyloidosis (CA)...
Background. Foundation models for electronic health records (EHRs) perform strongly on clinical pred...
Progression to dialysis or end-stage renal disease is a rare but clinically important outcome. Clini...
Feature engineering for Electronic Health Records (EHR) is complicated by irregular observation inte...
Background Electronic health record (EHR) phenotyping underpins observational research, cohort disco...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
Introduction Secondary use of electronic health records (EHRs) often requires transforming raw clini...
Multimodal learning has the potential to improve clinical prediction by integrating complementary da...
This study developed a large language model (LLM)-based solution to identify people at HIV risk usin...
We evaluated whether a glaucoma risk assessment (GRA) model trained on All of Us national data can i...
ImportanceGuideline-concordant care for young children with attention-deficit/hyperactivity disorder...
With the rapid advancement of deep learning in image generation, facial forgery techniques have achi...
Background: Datasets related to infectious diseases are essential for public health decision-making,...
Time-series anomaly detection (TSAD) is critical in domains such as industrial monitoring, healthcar...
In electronic health record (EHR) mining, learning high-quality representations of medical concepts ...
GLP-1 receptor agonists induce substantial weight loss, but the extent to which lean tissue and phys...
ObjectivesTo develop and evaluate predictive models for unused outpatient appointments (missed or ca...
Target trial emulation (TTE) enables causal inference from observational data but remains bottleneck...