Latest AI and machine learning research in reimbursement for healthcare professionals.
Anxiety, depression, and other mental health conditions are affecting millions of people worldwide e...
Cerebrospinal fluid (CSF) culture is the diagnostic gold standard for neuroinfectious diseases such ...
To develop and evaluate an open-source machine learning (ML) models for predicting hospital short st...
Impulse control disorders (ICD) in Parkinson’s disease (PD) patients mainly occur as adverse effects...
While large language models (LLMs) have shown promise in medical text processing, their real-world a...
Ambient artificial intelligence (AI) offers the potential to reduce documentation burden and improve...
Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...
Anophthalmia and microphthalmia (A/M) are rare congenital eye disorders with a low molecular diagnos...
Transparency and credibility of health-economic simulation models is essential to inform reimburseme...
Large language models (LLMs) now power clinical agents that can plan, call tools, and write into ele...
Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. However, RA dis...
Opioid use disorder (OUD) is common in emergency departments (EDs); identification via structured co...
To assess whether an artificial intelligence (AI) chest radiograph (CXR) tool could enhance lung can...
Identification of patient cohorts from EHRs is challenging because ICD codes primarily serve billing...
Rare neuromuscular diseases such as polyneuropathy (PN) and myopathy (MY) often share symptomatic ch...
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transpla...
Data imbalance is a fundamental challenge in applying language models to biomedical applications, ...
Recently, both closed-source LLMs and open-source communities have made significant strides, outpe...
Manual assignment of Anatomical Therapeutic Chemical (ATC) codes to prescription records is a sign...
Protecting patient data privacy is a critical concern when deploying machine learning algorithms i...
This work presents DAVINCI, a unified architecture for single-stage Computer-Aided Design (CAD) sk...