Artificial Intelligence Medical Compendium

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

Showing 2,171 to 2,180 of 202,214 articles

Imaging foundation model for universal enhancement of non-ideal measurement CT.

Nature communications Jun 4, 2026
Non-ideal measurement computed tomography (CT) employs suboptimal imaging protocols to expand CT applications. However, the resulting trade-offs degrade image quality, limiting clinical acceptability. Although deep learning methods have been used to ... read more 

Ultrahigh-Q integrated flame-hydrolysis-deposited germano-silicate resonators on silicon.

Light, science & applications Jun 4, 2026
Optical fibres, owing to their ultra-low transmission loss, underpin global telecommunications. However, this remarkable low-loss performance has not been extended to integrated photonic devices, which are increasingly critical for data-intensive com... read more 

Artificial intelligence in forensic science: a systematic review. Part I: personal identification.

International journal of legal medicine Jun 4, 2026
Artificial intelligence (AI) has emerged as a promising tool in forensic sciences, offering new opportunities for personal identification through automated analysis of biological and imaging data. AI-based approaches have been increasingly applied to... read more 

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 
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