Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 10,591 to 10,600 of 209,601 articles
Evaluation of ChatGPT-5-generated surgical literature: the accuracy of a review on penile prosthesis implantation.
International journal of impotence research
May 27, 2026
The integration of artificial intelligence language models into medical literature requires rigorous evaluation of accuracy and reliability, especially in specialized domains. This study assessed ChatGPT-5's capacity to generate clinically accurate s... read more
Data for famine and extreme emergencies: challenges and opportunities.
Journal of public health policy
May 27, 2026
High-quality data are a pre-requisite for the development of models-whether of famine or food and nutrition-related emergencies. We highlighted challenges, related to data in famines or near-famine emergencies, including data availability, quality, t... read more
Descriptor-guided thermodynamic screening of [Formula: see text] adsorption on single-atom-doped anatase [Formula: see text] nanoparticles with interpretable machine learning.
Scientific reports
May 27, 2026
Understanding how surface dopants tune [Formula: see text] adsorption on oxide nanoparticles is important for the design of reversible hydrogen-storage materials and catalytic interfaces. Here, we present a descriptor-guided screening study of molecu... read more
Machine learning-assisted meta-analysis reveals melatonin crosstalk regulating plant growth plasticity under heavy metal stress.
Plant cell reports
May 27, 2026
Heavy metal (HM) pollution is a traditional and ongoing global ecological issue that requires continuous attention. Although studies have focused on how plants cope with HMs stress, the related results ineffectively serve phytoremediation and control... read more
Dense-MoE vs Lite-MoE: A Gating-Weight-Aware Pruning Framework for Unpaired Multimodal Breast Cancer Diagnosis.
Journal of imaging informatics in medicine
May 27, 2026
This study proposes a unique Mixture-of-Experts (MoE)-based deep learning framework for the effective use of unpaired multimodal images in breast cancer diagnosis. Mammography (MG), ultrasonography (US), and magnetic resonance imaging (MRI) data are ... read more
MMTC-Net: Multimodal Temporal Cervical Network for HSIL+ Recognition in Precancer Screening.
Journal of imaging informatics in medicine
May 27, 2026
Cervical precancer screening is essential for reducing disease-related mortality. In colposcopic practice, clinicians jointly assess dynamic acetic-acid image sequences, iodine-stained images, and structured clinical information when distinguishing H... read more
DADWMorph: A Global-Local Collaborative Network for Deformable Medical Image Registration.
Journal of imaging informatics in medicine
May 27, 2026
Deformable image registration enables spatial alignment across sequential scans for longitudinal disease monitoring, multi-modal fusion in treatment planning, and atlas-based segmentation. Accurate registration supports automated workflows in clinica... read more
Evaluating Iterative Deep Learning as a Labeling-Efficient Strategy for Tubular Segmentation in Digital Nephropathology.
Journal of imaging informatics in medicine
May 27, 2026
Chronic kidney disease (CKD) is a prevalent condition worldwide and a significant global health burden that is expected to increase in the coming decades. Morphological evaluation of renal tubules is critical for diagnosis and prognosis; however, man... read more
Interpretable Deep Learning Radiomics Model for Preoperative Prediction of High-Grade Soft Tissue Sarcomas: A Multicenter MRI Study.
Journal of imaging informatics in medicine
May 27, 2026
This study aims to develop a preoperative fat-suppressed T2-weighted imaging (FS-T2WI)-based deep learning radiomics (DLR) model for predicting high-grade soft tissue sarcomas (STSs). 129 patients from the Cancer Imaging Archive (TCIA) database and o... read more
A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment.
NPJ Parkinson's disease
May 27, 2026
Parkinson's disease (PD) is a catastrophic neurodegenerative disorder and a major culprit of neurological disability worldwide. Accurate diagnosis of PD, especially in its early stages, is paramount for timely intervention and effective therapeutic m... read more
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