Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 234,751 articles

Recent Progress in g-C3N4 Functionalized Nanocomposites for Electrochemical Sensors: A Comprehensive Review.

Critical reviews in analytical chemistry
ABSRACTGraphitic carbon nitride (g-C3N4) based nanocomposites have significant attention as a versatile two-dimensional material for their unique structure, remarkable stability, electronic, and mechanical properties. This review summarizes recent pr... read more 

Prognostic factors associated with outcomes after knee cartilage repair across different procedure types: a systematic review.

Knee surgery & related research
PURPOSE: To identify and describe the prognostic factors associated with outcomes after knee cartilage repair within distinct procedure and disease contexts. METHODS: PubMed, Embase, the Cochrane Library, and Google Scholar were searched from incepti... read more 

Who Do We Trust to Correct Health Misinformation? Credibility of AI-Generated Fact-Checking Messages.

Health communication
As artificial intelligence (AI)-generated messages are increasingly used to correct health misinformation, it remains unclear when such messages are perceived as credible and how credibility shapes subsequent information behaviors. This study examine... read more 

Opportunities and challenges of artificial intelligence and digital pathology in adult CNS tumors.

Journal of neuro-oncology
PURPOSE: For over a century, the pathologist's interpretation at the microscope was the final word on a brain tumor's identity. The 2021 World Health Organization (WHO) classification of central nervous system (CNS) tumors, 5th edition, changed that ... read more 

Microscopic origin of polytype-dependent melting in SiC revealed by machine-learning molecular dynamics.

The Journal of chemical physics
Predicting how crystal structure influences high-temperature stability remains a key challenge in materials modeling and design. Silicon carbide (SiC), one of the most thermally and chemically stable materials known, provides an ideal system for stud... read more 

Recent Advances in Graphene-Based Aerogels for Electromagnetic Wave Absorption: A Comprehensive Review.

ACS applied materials & interfaces
With the rapid development of high-frequency communications, smart electronic devices and aerospace, the problem of electromagnetic interference has become increasingly severe, creating an urgent need for electromagnetic waves (EMWs) absorbing materi... read more 

Real-world renoprotective effects of polyethylene glycol-loxenatide in type 2 diabetes: a multicenter, ambispective cohort study.

Signal transduction and targeted therapy
Patients with type 2 diabetes mellitus and chronic kidney disease face persistent risks despite standard care. Polyethylene glycol-loxenatide lacks real-world renoprotective evidence in high-risk Chinese populations relative to non-incretin-based sta... read more 

Real-world renoprotective effects of polyethylene glycol-loxenatide in type 2 diabetes: a multicenter, ambispective cohort study.

Signal transduction and targeted therapy
Patients with type 2 diabetes mellitus and chronic kidney disease face persistent risks despite standard care. Polyethylene glycol-loxenatide lacks real-world renoprotective evidence in high-risk Chinese populations relative to non-incretin-based sta... read more 

Factors influencing surface ozone concentrations in Wuhan: an interpretable machine learning analysis.

Environmental monitoring and assessment
Ground-level ozone (O3) has become a major challenge for air quality improvement in China, but its short-term variability is controlled by complex interactions among pollutant persistence, precursor conditions, and meteorological factors. In this stu... read more 

Deep Learning-Based 3D CT Body Composition Is Associated With Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement.

Circulation. Cardiovascular imaging
BACKGROUND: Recent advances in artificial intelligence enable fully automated 3-dimensional computed tomography (CT)-based body composition quantification. We investigated whether automated CT-derived thoraco-abdominopelvic body composition measures ... read more