Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The integration of AI into drug design has undergone a transformative evolution, reshaping the landscape of medicinal chemistry. AI's exceptional capabilities in data processing, pattern recognition, and predictive modelling have permeated every stage of the drug development pipeline. To provide a comprehensive overview of the current state, key methodologies, and emerging trends in this rapidly e...
Remote patient monitoring is moving closer to routine implementation and has the potential to become an important component of perioperative care: with wearables being able to monitor increasingly more biosignals with acceptable accuracy, the technological foundation is being laid for perioperative management that extends beyond hospital walls. Preoperatively, remote patient monitoring data are be...
BACKGROUND: With population aging and the growing burden of chronic diseases, the number of patients with cardiovascular disease (CVD) in China contin...
Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether different frailty tools identify the same or distinc...
Diabetes mellitus (DM), a highly prevalent metabolic disorder, is increasingly recognised for its significant association with glaucoma, a leading cau...
OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...
Multimodal artificial intelligence (AI) is reshaping prostate cancer imaging by moving beyond MRI-only algorithms toward models that integrate multipa...
Active surveillance increasingly incorporates prostate MRI for longitudinal assessment of lesion stability or progression, yet terminology for serial ...
Racial and ethnic disparities in the administration of intravenous thrombolysis (IVT) for acute ischemic stroke (AIS) remain persistent, raising conce...
BACKGROUND: Interstitial lung disease (ILD) comprises a heterogeneous group of disorders with diverse clinical behaviors, for which early diagnosis, a...
BACKGROUND: Coronary artery disease (CAD) is the leading cause of death globally and a major contributor to hospital readmission. This study aimed to ...
BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The stress hyperglycaemia ratio (SHR), which adjusts ...
Existing studies on prognostic prediction for multidrug-resistant organisms (MDROs) are limited by single-model designs, incomplete consideration of w...
OBJECTIVES: Large language models (LLMs) are increasingly used by clinicians, yet most clinical interactions remain disposable: a question asked, an a...
BACKGROUND: Programmed death-ligand 1 (PD-L1) expression and CD8-positive (CD8+) T-cell infiltration in tumor tissue are associated with prognosis in ...
BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...
BACKGROUND: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all...
Acute chest syndrome (ACS) causes significant morbidity and mortality in both adult and pediatric patients with sickle cell disease (SCD). Despite kno...
BACKGROUND: Large language models (LLMs) may help organize clinical information, but their use in perioperative settings requires careful evaluation b...
Illicit wastewater discharges from concealed outfalls threaten urban river ecosystems, often evading conventional monitoring. This study introduces an...