Latest AI and machine learning research in reimbursement for healthcare professionals.
The nomenclature of human disease has developed organically over the past centuries using Greek, Lat...
How do multi-modal large language models that jointly process natural language and biological sequen...
Objective Clinical narrative provides a unique window into provider reasoning and attribution, but u...
Explicit reconstruction constraints derived from the decoupled representation are further imposed to...
The scarcity of high-quality annotated medical data, particularly in mental health, poses a signific...
Background. Foundation models for electronic health records (EHRs) perform strongly on clinical pred...
MedSafe-Dx (v0), introduces a new safety-focused benchmark for evaluating large language models in c...
Medical concept extraction from electronic health records underpins many downstream applications, ye...
Echocardiography is a widely used modality for cardiac assessment due to its non-invasive and cost-e...
Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regardin...
AI systems in healthcare research have shown potential to increase patient throughput and assist cli...
Background: Health technology assessment (HTA) agencies issue reimbursement recommendations that det...
Image Copy Detection (ICD) aims to identify manipulated content between image pairs through robust f...
Introduction: Clinical text classification using natural language processing (NLP) models requires a...
Clinical AI systems frequently suffer performance decay post-deployment due to temporal data shifts,...
Cost models in healthcare research must balance interpretability, accuracy, and parameter consiste...
This study investigates the feasibility and performance of federated learning (FL) for multi-label...
Domain generalization has become a critical challenge in clinical prediction, where patient cohort...
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...
Hepato-pancreato-biliary (HPB) disorders represent a global public health challenge due to their h...
ICD Coding aims to assign a wide range of medical codes to a medical text document, which is a pop...