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Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessment across the disease course. MATERIALS AND METHODS: In this multi-institutional retrospective study, we included patients aged 1-30 years with DMG from an institutional pediatric cancer center, BraTS-PEDs 2024, and PNOC007, a prospective trial of r...

An Imaging Informatics Workflow for Angiography-Derived Coronary Physiology Profiling and Virtual PCI Simulation.

Coronary angiography is routinely acquired during invasive assessment of coronary artery disease, but its interpretation remains fragmented across visual stenosis assessment, quantitative anatomy, physiology estimation, and procedural planning. Existing angiography-derived physiology tools typically provide vessel-level scalar outputs and are not tightly integrated with automated image analysis, l...

Predicting social media post popularity using multimodal deep learning: Insights from content features.

This study predicts social media post popularity by examining the associations between multimodal, unstructured content features and observed engageme...

Electrodermal signatures of stress during tactical law enforcement training.

Law enforcement tactical training places sustained cognitive and emotional demands on recruits, making stress regulation a critical determinant of lea...

tDCS synchronous robotic training on lower-limb with post-stroke hemiplegia: a comparative study between synchronous and sequential group.

BACKGROUND: This study was aimed to compare the effects of tDCS synchronized with robotic training(RT)and tDCS sequential followed by RT on lower-limb...

A clinician-centered evaluation framework for large language models in patient education: Integrating the Technology Acceptance Model and Medical Condition Regard Scale.

Inadequate post-care patient education contributes to preventable readmissions and adverse outcomes that disproportionately affect medically complex, ...

Machine Learning-Based Prediction of Cycloplegic Refraction Using the Eyerobo Vision Screener: Design-A Cross-Sectional Comparative Device Study.

INTRODUCTION: A cross-sectional comparative device study to compare the Eyerobo Vision Screener (VS), a portable handheld photorefractor, against a co...

Performance-Based Frailty Tools Capture Distinct Risk Phenotypes in Kidney Transplant Candidates: A Comparative Analysis of FRAIL and SPPB.

Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether different frailty tools identify the same or distinc...

Pathogenic Genetic Variants, Comorbid Autism and Adaptive Developmental Quotient as Independent Predictors of Intellectual Disability in Children With Global Developmental Delay: An Interpretable Machine Learning Model With Calibrated Risk Estimation.

BACKGROUND: Global developmental delay (GDD) frequently precedes intellectual disability (ID), but no validated multivariable prognostic tool exists t...

OPTIBRAILLE - assistive device for visually impaired.

Objective: The objective of OptiBraille is to develop a low-cost, standalone assistive Braille character recognition system designed and built on a Ra...

Deep Learning-guided Late-Phase Dynamic Frame Prediction for Accelerated Patlak Analysis in 18F-FDG-PET Brain Imaging.

PURPOSE: Dynamic 18F-FDG-PET enables the quantitative assessment of cerebral glucose metabolism but requires prolonged acquisition times, which pose c...

Stress hyperglycaemia ratio and post-operative delirium after cardiac surgery: a retrospective cohort study of the MIMIC-IV database.

BACKGROUND: Post-operative delirium is a serious neurocognitive complication of cardiac surgery. The stress hyperglycaemia ratio (SHR), which adjusts ...

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enri...

Clinical outcome prediction of Contour Neurovascular System treatment based on pre-treatment geometric and hemodynamic characteristics.

PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outcome and post-treatm...

AI Models for Predicting Acute Kidney Injury (AKI) and Post-AKI Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI), but validation quality and clinical readiness rem...

Characterization of AF Recurrence and Substrate Health by Electrographic Flow (EGF) Consistency in EGF Mapping.

BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...

A physics-constrained Bayesian framework for QSM with uncertainty quantification and variational susceptibility source separation.

Quantitative Susceptibility Mapping (QSM) requires inversion of a convolutional dipole operator whose null-space renders the reconstruction problem se...

Targeted protein degradation: mechanistic diversity, therapeutic expansion, and clinical translation.

Targeted protein degradation (TPD) has transitioned from a paradigm-shifting concept to a clinically validated strategy, with multiple degraders achie...

Comparative Evaluation of Large Language Models in Answering Patient Questions Following Periodontal and Peri-Implant Examination: An Expert-Based Study.

INTRODUCTION: Large language models (LLMs) are increasingly utilized for medical and dental information retrieval, yet their ability to interpret auth...

Artificial intelligence and the phantom pneumothorax: Clinical reasoning still matters.

Artificial intelligence (AI) has become increasingly integrated into chest radiograph interpretation, demonstrating excellent diagnostic performance f...