Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,471 to 1,480 of 213,568 articles

Plasma proteomics and machine learning deliver non-invasive distinction between fibrotic hypersensitivity pneumonitis and idiopathic pulmonary fibrosis.

Journal of translational medicine
BACKGROUND: Hypersensitivity pneumonitis (HP) manifests as fibrotic (FHP) and non-fibrotic (NFHP) phenotypes. Clinically distinguishing FHP from idiopathic pulmonary fibrosis (IPF) remains challenging owing to phenotypic overlap, despite divergent ma... read more 

Mechanistic study on comorbidities of kidney stones and sepsis using transcriptome sequencing combined with single-cell spatial transcriptome sequencing.

Medicine
Kidney stones and sepsis have a complex pathological association. Urinary obstruction and infection caused by kidney stones can easily induce sepsis, leading to increased mortality and poor prognosis. However, the molecular mechanism underlying their... read more 

Machine learning models of depressive symptoms in middle-aged and elderly patients with chronic kidney disease: A cross-sectional study based on CHARLS.

Medicine
This study aimed to develop and compare the performance of machine learning models in identifying depressive symptom status among middle-aged and elderly patients with chronic kidney disease (CKD), while identifying key factors that influence depress... read more 

Construction and validation of a machine learning-based risk prediction model for venous thromboembolism in older adult patients: A multifactorial analysis of 28,231 cases.

Medicine
Venous thromboembolism (VTE) is a leading preventable cause of in-hospital mortality in older adults, yet early risk stratification remains a key clinical challenge. This study aimed to develop and internally validate an explainable machine learning ... read more 

Attitudes, usage patterns, and learning interests of medical students toward DeepSeek in medical education: A cross-sectional survey.

Medicine
The integration of artificial intelligence (AI) tools like DeepSeek into scientific research offers new opportunities for efficiency and innovation. However, attitudes and adoption among medical students remain underexplored. This study aims to inves... read more 

Evaluating the quality, understandability, actionability, and readability of ChatGPT-generated patient information on overactive bladder: A cross-sectional study.

Medicine
This cross-sectional study aimed to evaluate the quality, understandability, actionability, and readability of patient-oriented information generated by ChatGPT regarding overactive bladder (OAB). A total of 32 frequently asked patient questions rela... read more 

Knowledge graph visualization and bibliometric analysis of research on coronary artery lesions in Kawasaki disease.

Medicine
BACKGROUND: Coronary artery lesions (CAL) complicating Kawasaki disease (KD) are a central concern affecting the long-term cardiovascular health of affected children. This study aimed to systematically depict the macro landscape, knowledge structure,... read more 

Predicting severe COVID-19 in elderly patients using routine laboratory indicators: Diagnostic accuracy of machine learning models.

Medicine
To enable early warning of severe 2019 coronavirus disease in elderly patients, this study collected routine laboratory indicators and clinical parameters to construct and validate clinical models to predict the risk of severe disease. A total of 123... read more 

Exploring the role of generative artificial intelligence in enhancing clinical skills training: A bibliometric analysis.

Medicine
BACKGROUND: Traditional clinical skills training faces challenges such as limited standardized patient resources, high costs of simulation equipment, and restricted opportunities for repeated practice. Generative artificial intelligence (GAI), partic... read more 

Recent developments in the therapeutic management of acid-related gastrointestinal diseases.

Expert review of gastroenterology & hepatology
INTRODUCTION: Acid-related gastrointestinal diseases, particularly gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD), remain major global health burdens despite decades of proton pump inhibitor (PPI)-based therapy. Persistent symp... read more