Artificial Intelligence Medical Compendium

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

Showing 2,921 to 2,930 of 202,937 articles

Physics-informed deep learning enables reliable and scalable organoid quantification for drug screening via OCT.

NPJ digital medicine Jun 4, 2026
Patient-derived organoids (PDOs) hold transformative potential for personalized medicine by recapitulating patient-specific drug responses. While Optical Coherence Tomography (OCT) is ideal for monitoring these responses, its translation into high-th... read more 

Machine learning-based integration and comparison of ADC map radiomics with conventional imaging markers for cholesteatoma diagnosis.

Neuroradiology Jun 4, 2026
PURPOSE: To compare the diagnostic performance of apparent diffusion coefficient (ADC) map-based radiomics with conventional CT and DWI for differentiating cholesteatoma from non-cholesteatomatous middle ear lesions and to evaluate the incremental va... read more 

Validation of a deep-learning based thrombus classifier on digital subtraction angiography using a large-scale dataset.

Neuroradiology Jun 4, 2026
PURPOSE: Digital subtraction angiography (DSA) interpretation is observer dependent. This study evaluated the diagnostic performance of an existing deep-learning (DL) based thrombus classifier prior to clinical application. The intended use of the mo... read more 

CT-based deep learning radiogenomics for predicting key glioma genotypes (IDH, ATRX, EGFR, TP53).

Neuroradiology Jun 4, 2026
PURPOSE: Molecular subtyping guides diagnosis and targeted therapy for gliomas. Although MRI-the current imaging standard-can be time-consuming and is sometimes contraindicated, computed tomography (CT) is faster, more widely available, and often pre... read more 

Multiclass machine learning classification of aflatoxin B1 and ochratoxin A in crude palm oil using SERS with statistically validated model benchmarking.

Mikrochimica acta Jun 4, 2026
Mycotoxin contamination in crude palm oil poses significant food safety challenges, yet conventional detection methods remain time-consuming and resource-intensive. This study presents a rapid analytical framework for the simultaneous detection of af... read more 

Shortening MRI scanning time for acute ischemic stroke: analysis of the effect of 3.0T MRI compressed sensing deep learning reconstruction.

Emergency radiology Jun 4, 2026
BACKGROUND: Acute ischemic stroke requires rapid and accurate MRI diagnosis. This study aimed to evaluate whether 3.0T brain MRI with compressed sensing deep learning reconstruction (CS‑DLR) can reduce scanning time while maintaining diagnostic image... read more 

Clinical indicators associated with pericardial effusion in rheumatoid arthritis: a machine learning-based analysis.

Clinical rheumatology Jun 4, 2026
BACKGROUND: Pericardial effusion (PE) is a frequent yet underdiagnosed complication of rheumatoid arthritis (RA), with substantial mortality risk. Nevertheless, early detection remains challenging due to nonspecific presentations and the limited feas... read more 

Assessing and quantifying the saturation effect of forest aboveground biomass mapping using Landsat 8, Sentinel 1/2.

Carbon balance and management Jun 4, 2026
The application of remote sensing to forest aboveground biomass (AGB) mapping has received increasing attention, and substantial progress has been achieved. Nevertheless, saturation of remotely sensed signals remains a major challenge, often leading ... read more 

An explainable AI framework for enhanced software defect prediction using transformer-assisted boosting.

Scientific reports Jun 4, 2026
Accurate defect prediction is essential for better software quality to avoid cost overruns, schedule delays, and reduced system reliability due to software defects. This study presents a Transformer Assisted Boosting Framework (TABF) that combines XG... read more 

A novel deep learning network for small bowel ulcerative lesion detection and differential diagnosis on double-balloon endoscopy images.

Biomedical physics & engineering express Jun 4, 2026
Differentiating small bowel ulcerative diseases (SBUDs) on double-balloon endoscopy (DBE) is challenging. We aimed to develop an artificial intelligence (AI) model using DBE images for accurate SBUD identification and classification. Methods: We ... read more 
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