Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Identifying reliable circulating biomarkers is crucial for improving the diagnosis and risk stratification of patients with ischemic stroke. In this study, we evaluated several whole-blood circulating miRNAs (miR-106b-5p, miR-16-5p, miR-15b-5p, let-7e-5p, and miR-125a-3p/-5p) to determine their diagnostic and disease severity in acute ischemic stroke (AIS). Sixty AIS patients and thirty age- and s...
In recent years, with the rapid development of medical device and biopharmaceutical technologies, the treatment model of gastric cancer surgery has been undergoing tremendous transformations. From the traditional open surgery model to the minimally invasive surgery model supported by devices such as laparoscopes and robots, the "precision minimally invasive" system integrated with 3D/4K high-defin...
In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, ...
Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...
Artificial intelligence (AI) is reshaping the paradigm of clinical surgical field at an unprecedented pace, demonstrating immense potential in areas s...
The high heterogeneity of colorectal cancer poses significant challenges to clinical precision diagnosis and treatment. In recent years, artificial in...
OBJECTIVE: Medication discrepancies at hospital admission are common and can cause preventable patient harm. Predictive models can help prioritize med...
Despite significant advances in deep learning for electronic health record (EHR) modeling, accurately representing complex disease relationships and a...
PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...
BACKGROUND: Delayed admission to the intensive care unit (ICU) after trauma can lead to tripling of in-hospital mortality. Accurate ICU resource predi...
OBJECTIVE: With expanding applications of artificial intelligence technology in the medical field, Large Language Models (LLMs) have achieved substant...
Metal-organic frameworks (MOFs) are highly versatile materials known for their exceptional properties, including high specific surface area, tunable p...
BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (...
Study DesignSystematic review and meta-analysis.ObjectiveDirect head-to-head comparison of machine learning models aiming to predict outcomes in Anter...
BACKGROUND: Timely identification and transfer of critically ill patients to intensive care units (ICUs) are crucial to reducing morbidity and mortali...
PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing a noninvasive, accessible, repeatable, efficient, ...
BACKGROUND: Cognitive dysfunction (CD) is a frequent but often underrecognized clinical feature in systemic lupus erythematosus (SLE) patients. It mar...
BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can poten...
Solid-state nanochannels, as an emerging single-molecule sensing platform, have shown great potential in environmental monitoring, biomedical diagnost...
Academic medical centers, and particularly academic radiology, are undergoing profound transformations driven by factors such as expansion of clinical...