Latest AI and machine learning research in hospitalists for healthcare professionals.
The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...
The calculations on fluvial microplastic load (MPL) provide dynamic and actionable metrics for under...
Large language models (LLMs) are increasingly used in clinical decision support, yet current evalu...
Clinical note generation aims to automatically produce free-text summaries of a patient's conditio...
Through the analysis of multidimensional vibration signals of machinery, existing faults in mechanic...
The unbridled discharge of nitrogen and phosphorus (NP) pollutants is believed to have surpassed eco...
Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...
Objective: Heart failure (HF) patients present with diverse phenotypes affecting treatment and pro...
Large language models (LLMs) have been extensively evaluated on medical question answering tasks b...
In recent years, the fusion of the medical and computer science domains has gained significant tract...
Aplastic anemia is a rare, life-threatening hematologic disorder characterized by pancytopenia and...
Conventional machine learning models, particularly tree-based approaches, have demonstrated promis...
BACKGROUND: Atrial fibrillation (AF), the most common arrhythmia, is linked to high morbidity and ...
Discussions about the benefits of admitting very old individuals to intensive care unit (ICU) remain...
Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However,...
The growing use of Artificial Intelligence (AI) in healthcare, particularly focusing on the potentia...
BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread applicat...
Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...
Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red ...
Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...
OBJECTIVE: The American Spinal Injury Association Impairment Scale (AIS) assigned at patient admissi...