Latest AI and machine learning research in information technology for healthcare professionals.
Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart revie...
Deep learning models for clinical event prediction on electronic health records (EHR) often suffer p...
Archaeologists, as well as specialists and practitioners in cultural heritage, require applications ...
Acquiring insights from electronic health records (EHRs) is slowed by manual analytical workflows th...
Objective: Adverse events (AEs) resulting from medical interventions are significant contributors to...
Automatically discovering personalized sequential events from large-scale time-series data is crucia...
Background: Traditional heart transplant registries often lack the granularity required for deep phe...
Generative models trained using self-supervision of tokenized electronic health record (EHR) timelin...
The digitization of healthcare has generated massive volumes of Electronic Health Records (EHRs), of...
Homelessness among US veterans remains a critical public health challenge, yet risk prediction offer...
Background: Many patients with triple-negative breast cancer (TNBC), particularly those who are olde...
Large-scale Electronic Health Record (EHR) databases have become indispensable in supporting clinica...
Accurate clinical prognosis requires synthesizing structured Electronic Health Records (EHRs) with r...
Objective Accurate and scalable disease phenotyping from electronic health records (EHRs) is foundat...
Foundation models trained on patient electronic health records (EHRs) hold promise for transforming ...
Chronic wounds affect over 1.2 million Canadians and incur healthcare costs exceeding $13 billion an...
Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with card...
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which ...
Healthcare institutions have access to valuable patient data that could be of great help in the deve...
Abstract Purpose: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed d...
Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may i...