Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Diagnosis coding is essential for clinical care, research validity, and hospital reimbursement. In n...
Decision-making in perinatal management of extremely preterm infants is challenging. Mortality predi...
Adequate self-harm surveillance is a key part of suicide prevention efforts. Our prior work has demo...
Large language model (LLM)-assisted early warning system may help overcome existing barriers to time...
Chronic pain is a major healthcare problem associated with maladaptive brain circuit changes - many ...
The timely detection of ward deterioration—including unplanned intensive care unit (ICU) transfer, c...
Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...
Pre-procedural risk prediction of 30-day all-cause mortality after percutaneous coronary interventio...
Ambient artificial intelligence (AI) offers the potential to reduce documentation burden and improve...
Specialist consults in primary care and inpatient settings typically address complex clinical questi...
Substance use disorders (SUD) are a leading cause of psychiatric hospitalization among adolescents, ...
To evaluate the efficacy of digital twins developed using a large language model (LLaMA-3), fine-tun...
Each piece of cell-free DNA (cfDNA) has a length determined by the exact metabolic conditions in the...
The potential of artificial intelligence (AI) to personalize dietary and exercise advice for obesity...
Artificial intelligence (AI) and statistical models designed to predict same-admission outcomes for ...
This study addresses limitations of traditional medication adherence assessment tools by developing ...
Patients recently discharged from psychiatric hospitalization are at increased risk of intentional s...
Current radiotherapy (RT) planning workflows rely on pre-treatment simulation CT (sCT), which can si...
Structured recording of key information such as diagnoses is essential for safe, efficient patient c...
Unplanned hospital admissions impose substantial strain on healthcare systems, yet predictive models...
This study investigates how historical disparities in healthcare access influence machine learning (...