Latest AI and machine learning research in information technology for healthcare professionals.
To develop and evaluate an open-source machine learning (ML) models for predicting hospital short st...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...
The use of generative large language models (LLMs) with electronic health record (EHR) data is rapid...
Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of mental illness...
Electronic healthcare records (EHR) use codes from different vocabularies to describe medical occurr...
This review explores the transformative role of artificial intelligence (AI) in the early detection ...
Medication mapping to standardized terminologies is an important prerequisite for performing analyti...
Interstitial lung disease (ILD) is the leading cause of death in patients with systemic sclerosis (S...
Electronic Health Records (EHRs) offer rich data for machine learning, but model generalizability ac...
High-quality, standardised medical data availability remains a bot-tleneck for digital health and AI...
Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally....
Myasthenia gravis (MG) is a rare autoimmune neuromuscular disease. Clinical trials with rigorously c...
The early recognition of clinical deterioration in hospital inpatients continues to be a major chall...
Heart failure with preserved ejection fraction is challenging to diagnose, precluding the initiation...
Insomnia is a highly prevalent but often underdiagnosed condition in clinical practice. Its inconsis...
Timely and accurate determination of causes of death (CoD) is essential for public health surveillan...
We present a real-world deployment of a large language model-powered colonoscopy recall pipeline tha...
Manual assignment of International Classification of Diseases (ICD) codes is error-prone. Transforme...
Recent advances in large language models (LLMs) have shown potential in clinical text summarization,...
One of the most difficult challenges in pediatric telemedicine is to accurately discriminate between...
The privacy protection of medical patients has remained a critical concern in healthcare information...