Artificial Intelligence Medical Compendium

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

Showing 47,121 to 47,130 of 224,199 articles

A review of microplastics stress on nitrogen conversion and nitrous oxide emissions from biological wastewater treatment: Efficiency, mechanism and prospects.

The Science of the total environment Feb 25, 2026
Microplastics, as an emerging pollutant ubiquitous in aquatic systems, are commonly detected in wastewater treatment plants. They not only pose risks to human health but also impact nitrogen cycling and nitrous oxide (N2O) emissions. In recent years,... read more 

Geometric deep learning-based coronary wall shear stress estimation from real-world patients.

Computers in biology and medicine Feb 25, 2026
BACKGROUND: Coronary wall shear stress (WSS) derived from computational fluid dynamics (CFD) provides mechanistic insight and prognostic information, but its clinical translation is hindered by modeling complexity and computation time. We evaluated a... read more 

On the accuracy of implicit neural representations for cardiovascular anatomies and hemodynamic fields.

Computers in biology and medicine Feb 25, 2026
Implicit neural representations (INRs, also known as neural fields) have recently emerged as a powerful framework for knowledge representation, synthesis, and compression. By encoding fields as continuous functions within the weights and biases of de... read more 

Specific diagnostic model for bacterial pneumonia constructed by combining multiple omics and multi machine learning models.

Computers in biology and medicine Feb 25, 2026
Due to the difficulty in quickly discriminating bacterial pneumonia (BPs) from pneumonia caused by other pathogens in clinic, the research for new biomarkers which can specifically diagnose BPs is of great significance. Here, miRNA, proteomic, and me... read more 

Multi-scale kernel and electrode attention network for EEG-based epileptic seizure detection.

Computers in biology and medicine Feb 25, 2026
Epilepsy is a common chronic neurological disorder, and automated detection of epileptic seizures using multi-channel electroencephalography (EEG) is of great significance for improving diagnostic efficiency. Existing deep learning methods either red... read more 

Metabolic engineering of microorganisms for the valorization of C2 feedstocks.

Current opinion in biotechnology Feb 25, 2026
This review summarizes recent advances in the metabolic engineering of microorganisms for the valorization of C2 feedstocks into high-value chemicals and materials. We first discuss native and engineered C2 assimilation pathways, including reverse β-... read more 

Harnessing artificial intelligence for antimicrobial discovery and optimization.

Current opinion in microbiology Feb 25, 2026
The rise of antimicrobial-resistant pathogens has outpaced the traditional methods of drug discovery and development, emphasizing a need for new and innovative approaches to identifying novel antibiotics. Artificial intelligence (AI) poses new opport... read more 

A machine learning model integrating circulating Temra cell transcriptional profiles to predict immunotherapy efficacy.

Med (New York, N.Y.) Feb 25, 2026
BACKGROUND: While immunotherapy has transformed treatment paradigms for cancer, durable response rates remain below 30%. Currently available biomarkers are insufficient for precise patient stratification. Blood-based biomarkers, as minimally invasive... read more 

Explainable machine learning framework based on blood biomarkers and routine health information for assistive diagnosis and risk stratification of acute myocardial infarction.

Clinica chimica acta; international journal of clinical chemistry Feb 25, 2026
BACKGROUND: Acute myocardial infarction (AMI) presents a critical clinical challenge due to its rapid progression and high mortality, compounded by diagnostic delays from limited healthcare access. To address this, we developed a machine learning fra... read more 

Development and validation of a predictive model for profiling antibiotic resistance phenotypes of Acinetobacter baumannii strains via clinical MALDI-TOF mass spectra: A multicenter study.

International journal of antimicrobial agents Feb 25, 2026
Acinetobacter baumannii is a significant pathogen responsible for healthcare-acquired infections (HAIs), posing challenges due to its rising resistance to multiple antibiotics. Traditional diagnostic methods like bacterial cultures and antibiotic sus... read more 
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