Artificial Intelligence Medical Compendium

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

Showing 36,431 to 36,440 of 223,137 articles

Artificial intelligence uncovers latent signals of portal hypertension in routine CT imaging.

Journal of hepatology Apr 1, 2026
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Explainable machine learning to predict muscle loss during radiotherapy for oral cavity cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 1, 2026
BACKGROUND AND PURPOSE: Muscle loss during adjuvant radiotherapy is associated with poor survival outcomes in patients with oral cavity cancer (OCC). This study aimed to develop and validate an explainable machine learning model to predict muscle los... read more 

Traffic noise, air pollution, and greenness in relation to age-related macular degeneration: Evidence from a cross-national cohort study.

Environmental pollution (Barking, Essex : 1987) Apr 1, 2026
Age-related macular degeneration (AMD) is influenced not only by biological factors but also by the broader urban environment, yet evidence integrating multiple environmental exposures remains limited. We examined the associations of residential road... read more 

Interpretable deep learning with pharmacogenomics predicts myocardial infarction in angiotensin receptor blocker treated hypertension.

Journal of hypertension Apr 1, 2026
OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patients treated with angiotensin receptor blockers (ARBs). Conventional risk models often fail to capture the complex, nonlinear interactions among clinica... read more 

Construction and validation of a prediction model for textbook outcome in distal cholangiocarcinoma undergoing pancreaticoduodenectomy based on six machine learning algorithms.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 1, 2026
BACKGROUND: Textbook outcome (TO) serves as a validated composite metric for short-term surgical quality in pancreaticoduodenectomy (PD) patients. This study developed and validated a machine learning-based model to predict the probability of TO atta... read more 

Time-resolved dual nanozyme colorimetric array for antioxidant fingerprinting and beverage shelf-life assessment.

Food chemistry Apr 1, 2026
Accurate detection and quantification of antioxidants are vital for human health and food safety. Here a colorimetric sensor array was developed to detect and quantify 8-typical antioxidants using two core-shell gold-nanostar (AuNS) nanozymes: AuNS@C... read more 

U-Mamba-Spectra: A novel generative and explainable framework for camel milk adulteration detection using near-infrared spectral learning.

Food chemistry Apr 1, 2026
Camel milk is vulnerable to adulteration due to its high value and limited supply. This study proposes an interpretable framework, U-Mamba-Spectra, for qualitative and quantitative detection of camel milk adulteration using near-infrared (NIR) spectr... read more 

Classification of vinegar types using volatile compound profiles and machine learning.

Food chemistry Apr 1, 2026
Vinegar is a traditional fermented food whose aroma diversity arises from volatile metabolites formed during alcoholic and acetic acid fermentation. However, analyses of volatile profiles across vinegar types remain limited. Here, four vinegar types-... read more 

Microplastic content prediction in agricultural soils using a mixed variable selection combined with Transformer-LSTM fusion architecture.

Talanta Apr 1, 2026
The widespread accumulation of microplastics (MPs) in agricultural soils poses potential threat to agricultural product safety and ecosystem stability. Therefore, the development of efficient and accurate prediction methods for soil microplastic cont... read more 

Characterization of suspended organic, inorganic, and microbial particles in water environment using an Electrical Sensing Zone (ESZ) method.

Talanta Apr 1, 2026
In aquatic environments, diverse particulate matter-including inorganic particles, organic particles, and microorganisms-significantly impacts water quality and ecological health. However, existing particle measurement technologies lack the capabilit... read more 
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