Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Large Language Models (LLMs) have shown promise in reducing clinical documentation burden, yet their...
Large language models (LLMs) have demonstrated potential to automate clinical documentation tasks th...
Large Language Nodels (LLMs) have raised broad expectations for clinical use, particularly in the pr...
Tuberculosis remains a major global health concern, particularly in high-burden countries where earl...
Emergency department (ED) crowding strains patient care and drives up costs. Early decisions on the ...
Rapid innovation and new regulations increase the need for post-marketing surveillance of implantabl...
During the COVID-19 pandemic, the field of infectious disease modeling advanced rapidly, with foreca...
Accurate identification of patients at high risk of in-hospital mortality in intensive care units (I...
Efficient patient monitoring on the medical-surgical wards is crucial to prevent significant in-hosp...
Despite increasingly widespread use of artificial intelligence-driven ambient scribes in medicine, t...
An accurate, robust, clinically accessible, and explainable predictive model for post-stroke composi...
Accurately predicting clinical trajectories in critically ill patients remains challenging due to ph...
Chest pain is among the most common chief complaints in Emergency Departments (EDs), and differentia...
The open-source release of DeepSeek-R1, a high-performing large language model (LLM), enables local ...
Acute pancreatitis (AP) is a common and potentially life-threatening gastrointestinal disease that p...
The modified Rankin scale (mRS) is an important metric in stroke research, often used as a primary o...
Recently, automated Interictal Epileptiform Discharge (IED) detection has attracted significant atte...
To develop and evaluate an open-source machine learning (ML) models for predicting hospital short st...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...
Patient satisfaction feedback is crucial for hospital service quality, but manual reviews are not po...
Hospitals are increasingly adopting artificial intelligence (AI) tools in clinical care. However, th...