Latest AI and machine learning research in hospitalists for healthcare professionals.
Timely discharge prediction is important for surgical unit operations. Using 3,928 postoperative patient notes (32.2% positive), we compared TF-IDF models, sentence embeddings, and LoRA-fine-tuned small language models (SLMs). TF-IDF with LightGBM performed best (F11 = 0.47, AUC = 0.80), while embeddings and SLMs showed limited sensitivity, with only modest recall gains from LoRA. Overall, lightwe...
Automated extraction of social determinants of health (SDoH) may support earlier identification of unmet social needs and inform substance use disorder (SUD) care. This study provides preliminary evidence that few-shot prompting improves large language model performance in extracting SDoH from discharge summaries of patients with SUD. While the accuracy of few-shot prompting exceeded zero-shot pro...
We used medium-sized LLMs to extract medication data from German discharge letters into the OMOP CDM, achieving >85% accuracy and >75% F1-score, demon...
As virtual nursing (VN) gains traction as a scalable solution to support hospital workflows, identifying patients best suited for VN admission assessm...
Precise forecasting of power grid load is essential for maintaining the stability and efficiency of contemporary energy systems. Traditional statistic...
Many individuals hospitalized due to severe viral infections develop mental and physical sequelae, which could potentially be prevented by targeted in...
BACKGROUND: Heart failure (HF) affects 1-3% of adults globally with high hospital re-admission rates and healthcare costs. Research aims to improve th...
Wastewater treatment plants (WWTPs) are essential for public health but are highly energy-intensive, accounting for approximately 1.6% of global green...
BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often cannot describe their condition and there is a sh...
BACKGROUND: Myofascial trigger points (MTrPs), which arise from muscle overload and subsequent ischemia, contribute to myofascial pain syndrome (MPS)....
Compound events-combinations of multiple hazards contributing to societal or environmental risk-can significantly exacerbate disaster impacts, yet the...
A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-based point discharge-optical emission spectrometr...
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The recent Phoenix criteria have redefined pediatric seps...
BACKGROUND: Artificial intelligence (AI) has become increasingly integrated into breast reconstruction, transforming preoperative planning, intraopera...
BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistan...
BACKGROUND: Given the high complication rates and economic burden of revision total joint arthroplasty, machine learning (ML) models may offer a tool ...
BACKGROUND: Influenza-associated encephalopathy and acute necrotizing encephalopathy (ANE) are rare but devastating complications of pediatric influen...
BACKGROUND: Survivors of pediatric intensive care often experience prolonged morbidity, but recovery trajectories and features associated with impairm...
BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries such as traumatic brain injury (TBI), subarachnoid he...
Plasma-based CO2 conversion is an emerging defossilization technology that converts a potent greenhouse gas into valuable chemical feedstocks, yet its...