AI Medical Compendium

Deep learning approaches for dislocation segmentation in TEM.

Ultramicroscopy Feb 23, 2026

Dislocations are defects of fundamental importance because their dynamics impacts alloys mechanical properties. At the TEM scale, dislocation dynamics analysis requires an important knowledge in image contrast and time consuming measurements. Here, w... read more

Toxoplasma gondii infection in wildlife in China (1985-2024): A systematic review and meta-analysis with machine learning.

Preventive veterinary medicine Feb 23, 2026

The globally distributed zoonotic protozoan parasite Toxoplasma gondii presents escalating conservation and public health challenges through expanding wildlife reservoir infections. This systematic review with meta-analysis, integrated with machine l... read more

Enhancing kelp origin prediction accuracy: A TabPFN model with stable isotope analysis and explainability techniques for robust insights.

Food chemistry Feb 23, 2026

Accurate prediction of kelp origin is essential for effective quality and safety management. To this end, we integrated the stable isotope ratios and contents of carbon, nitrogen, oxygen, and hydrogen in kelp samples from diverse origins with an expl... read more

Poincaré feature-based classification of electroencephalography signals for multiple sclerosis diagnosis.

Multiple sclerosis and related disorders Feb 23, 2026

BACKGROUND: As one of the most widespread neurodegenerative disorders, Multiple Sclerosis (MS) is a progressive neuroinflammatory disorder affecting millions of individuals worldwide. Although magnetic resonance imaging (MRI) techniques are commonly ... read more

Financial impact of deep learning reconstruction in magnetic resonance imaging: experiences after widespread deployment.

European journal of radiology Feb 23, 2026

PURPOSE: To evaluate the impact of deep learning reconstruction (DLR) on MRI productivity at a tertiary care academic hospital, and to validate a previously published Monte Carlo-based forecast of the productivity enhancement potential of DLR. METHOD... read more

Challenges of Artificial Intelligence in Medical Diagnosis in Congolese Hospitals: A Literature Review.

Public health challenges Feb 23, 2026

INTRODUCTION: Artificial intelligence (AI) is rapidly transforming medical diagnosis worldwide, but its adoption remains limited in Africa, particularly in the Democratic Republic of Congo (DRC). This narrative review aims to analyze the contribution... read more

"Is GenAI my supervisor?" Experiences of nursing undergraduates in using generative AI to assist in case study theses: A qualitative study.

Nurse education today Feb 23, 2026

OBJECTIVE: This qualitative study aimed to explore the experiences of nursing undergraduate students using Generative Artificial Intelligence (GenAI) for their case study theses. BACKGROUND: The growing use of GenAI in academic settings has facilitat... read more

Connectome-based prediction of problematic use of social media in adolescents: Findings from the ABCD study.

NeuroImage Feb 23, 2026

Problematic use of social media (PUSM) is a major public health concern estimated to affect 35% of adolescents. However, data-driven research to identify neural networks predictive of PUSM in adolescents remains limited. The aim of this study was to ... read more

Effectiveness of Artificial Intelligence Models for Detection of Vertical Root Fractures: A Systematic Review.

Journal of endodontics Feb 23, 2026

INTRODUCTION: Vertical root fractures (VRFs) are diagnostically challenging lesions with significant clinical implications. Artificial intelligence (AI) models have emerged as a potential diagnostic aid. This systematic review assessed the diagnostic... read more

Feasibility of two-dimensional multi-segmented late gadolinium enhancement combined with artificial intelligence reconstruction deep-learning noise reduction in patients with non-ischemic cardiomyopathy.

Magnetic resonance imaging Feb 23, 2026

OBJECTIVE: Although two-dimensional (2D) single-segmented late gadolinium enhancement (2D-SSLGE) sequences are the gold standard for LGE acquisition, 2D multi-segmented LGE (2D-MSLGE) and artificial intelligence reconstruction deep-learning noise red... read more

Artificial Intelligence Medical Compendium