Latest AI and machine learning research in information technology for healthcare professionals.
Suicide rates in the United States have increased steadily over the past twenty years, a trend coinc...
Large Language Models (LLMs) have been successfully used to extract structured data from free-text r...
This study set out to develop and validate a risk prediction tool for the early detection of heart f...
Lung transplantation is a life-saving therapy for end-stage lung disease but has the poorest surviva...
Large Language Models (LLMs) have shown promise in reducing clinical documentation burden, yet their...
The polygenic risk score genetic quantitative ultrasound speed of sound (gSOS) was developed using m...
Large language models (LLMs) have demonstrated potential to automate clinical documentation tasks th...
Alzheimer’s disease (AD) and AD-related dementias (ADRD) exhibit heterogeneous progression rates, wi...
Pragmatic clinical trials (PCTs) evaluate interventions in real-world settings, often using electron...
The widespread adoption of electronic health records (EHRs) has resulted in the generation of large ...
Lower respiratory tract infections (LRTIs) are a leading cause of mortality worldwide and can be dif...
Hypertension is a leading global health concern, significantly contributing to cardiovascular, cereb...
Clinical trial design (CTD) is a time-consuming process that requires substantial domain expertise. ...
Electronic health records (EHRs) are a rich source of clinical data, yet exploiting longitudinal sig...
To assess the performance of machine learning (ML) models in predicting gestational diabetes mellitu...
Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...
Robust de-identification is necessary to preserve patient confidentiality and maintain public accept...
This study investigates the performance of various machine learning (ML) and deep learning (DL) mode...
Alzheimer’s disease (AD) is a complex neurodegenerative disorder with limited therapeutic options. T...
The modified Rankin scale (mRS) is an important metric in stroke research, often used as a primary o...
Integrating structured clinical knowledge into artificial intelligence (AI) models remains a major c...