AI Medical Compendium

Accelerated Deep-Learning-Based Image Reconstruction for 3D T2 Dark-Fluid in Imaging of Multiple Sclerosis.

Investigative radiology Jul 6, 2026

OBJECTIVES: Deep-learning (DL)-accelerated MRI can significantly reduce acquisition times. Studies evaluating interchangeability with conventional 3D data sets, particularly for monitoring disease activity in multiple sclerosis (MS), are lacking. Thi... read more

An online cutaneous melanoma risk screen tool.

Melanoma research Jul 7, 2026

To develop and deploy a publicly accessible online risk estimation tool for cutaneous melanoma that prioritizes high recall to minimize missed diagnoses, using real-world clinical photographs rather than dermoscopic images, and to bridge the gap betw... read more

DeepKneeXR: YOLOv8 multi-label X-rays detection of knee abnormalities from sports injury with clinical explainability.

Biomedizinische Technik. Biomedical engineering Jul 7, 2026

BACKGROUND: Soft-tissue knee abnormalities are common, yet first-line radiography provides limited soft-tissue contrast, whereas MRI or arthroscopy is more resource-intensive. We developed DeepKneeXR as a single-center, retrospective proof-of-concept... read more

Development of multiphasic CT-based delta-radiomics model for predicting postoperative recurrence risk in bladder cancer.

BMC medical imaging Jul 7, 2026

BACKGROUND: This study aimed to develop a CT-based delta-radiomics model for personalized prediction of postoperative prognosis in bladder cancer patients and identification of differentially expressed genes associated with tumour recurrence. MATERIA... read more

Multisequence MRI and clinical data-based deep learning radiomics model for predicting adjacent segment degeneration post-lumbar fusion: a retrospective multicenter study.

BMC medical imaging Jul 6, 2026

BACKGROUND: While adjacent segment degeneration (ASDeg) is a major complication following lumbar fusion, objective tools for preoperative risk prediction remain lacking. This study developed a model integrating clinical data, deep learning, and radio... read more

Factors associated with delayed diagnosis of fibrotic interstitial lung disease: a retrospective cohort study.

BMC pulmonary medicine Jul 6, 2026

BACKGROUND: Timely diagnosis and treatment of fibrotic interstitial lung disease (ILD) is crucial to preserve lung function and limit healthcare costs. However, diagnosis is challenging and thus often delayed. Factors associated with delayed diagnosi... read more

Genetic analysis of imaging-derived phenotypes.

Nature reviews. Genetics Jul 6, 2026

Imaging-derived phenotypes (IDPs) developed from medical imaging data, such as magnetic resonance imaging, computed tomography and X-ray scans, are traits that provide quantitative information on anatomical and functional properties of organs and tis... read more

Compartment-specific host association and mobility shape ARG risk in aquaculture systems.

Journal of hazardous materials Jul 6, 2026

Antimicrobial resistance in aquaculture threatens environmental and public health, but the risk of ARGs cannot be inferred from abundance alone; host context and mobility potential are essential. Here, we investigated how ecological compartments shap... read more

Radon progeny monitoring outdoors using multiple NaI detectors.

Journal of environmental radioactivity Jul 6, 2026

Radon progeny may be used as tracers of environmental processes. In this work, a methodology involving two NaI(Tl) detector systems for the continuous monitoring of short-lived γ-emitting radon progeny activity in atmospheric air is presented. The pr... read more

Discovering hidden candidate plastic-degrading enzymes: Combined multi-omics and machine learning strategy.

Bioresource technology Jul 6, 2026

Plastic pollution poses a major threat to the stability of natural ecosystems as well as human health. Microbial enzymes have long been considered a potential resource for targeted biodegradation but, except for a few successful cases, the discovery ... read more

Artificial Intelligence Medical Compendium