Latest AI and machine learning research in hospitalists for healthcare professionals.
Effective fall risk assessment is critical for post-stroke patients. The present study proposes a ...
Despite advances in central nervous system (CNS)-protective anesthetic and surgical strategies, peri...
Large language models (LLMs), such as GPT-4, are increasingly integrated into healthcare to support ...
Recent advances in the Large Language Models (LLMs) provide a promising avenue for retrieving releva...
This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artifi...
Aneurysmal subarachnoid hemorrhage (aSAH) causes systemic changes that contribute to delayed cerebra...
Recent advances in deep learning show significant potential in analyzing continuous monitoring elect...
We developed a classifier to infer acute ischemic stroke (AIS) severity from Medicare claims using t...
Suicide risk is substantially elevated following discharge from a psychiatric hospitalization. Carin...
Aplastic anemia is a severe hematologic disorder marked by pancytopenia and bone marrow failure. ICU...
Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This react...
This study evaluates the comparative performance of trained machine learning models, commercial off-...
Large language models (LLMs) have demonstrated potential to automate clinical documentation tasks th...
An accurate, robust, clinically accessible, and explainable predictive model for post-stroke composi...
Acute pancreatitis (AP) is a common and potentially life-threatening gastrointestinal disease that p...
To develop and evaluate an open-source machine learning (ML) models for predicting hospital short st...
Predicting hospital readmission in cancer patients-particularly those with metastatic disease-remain...
Organ fibrosis caused by the presence of excessive extracellular matrix (ECM) is strongly related to...
Information overload in electronic health records (EHRs) hampers clinicians’ ability to efficiently ...
Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, and early detection...
Recent advances in large language models (LLMs) have shown potential in clinical text summarization,...