Latest AI and machine learning research in hospitalists for healthcare professionals.
Prompt engineering has the potential to enhance large language models’ (LLM) ability to solve tasks ...
Patients often struggle to fully understand their discharge letters after inpatient hospital stays, ...
Patients recently discharged from psychiatric hospitalization are at increased risk of intentional s...
Cardiogenic shock (CS) is a severe and frequent complication of acute myocardial infarction (AMI), n...
Missed opportunities for diagnosis (MODs), sometimes termed diagnostic errors, are a major cause of ...
Emergency Department (ED) overcrowding, often exacerbated by prolonged patient length of stay (LOS),...
Non-contrast CT head scans (NCCTH) are the most frequently requested cross-sectional imaging in the ...
Large language models (LLMs) have been investigated for clinical documentation, with concerns about ...
Frailty and multimorbidity are common in older adults and contribute substantially to prolonged hosp...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Timely intensive rehabilitation is crucial to contrast the negative escalation of events that follow...
Recent advances in deep learning have enabled the integration of heterogeneous data modalities for c...
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm base...
Although advances in brain surgery techniques have led to fewer postoperative complications requir...
Hospital readmission prediction is critical for clinical decision support, aiming to identify pati...
Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...
Student dropout is a significant concern for educational institutions due to its social and econom...
The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit disch...
This study introduces a novel approach for generating machine-generated instruction datasets for fin...
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the oper...