Radiology

High diagnostic accuracy of a resnet50-based deep learning model for osteochondral lesions of the talus on magnetic resonance imaging.

OBJECTIVES: This study aims to evaluate the diagnostic performance of a ResNet50-based convolutional...

From Passive Sampling to Precision Intervention: A Standardized Radiomics-Driven Workflow for Molecularly Adequate Lung Biopsy.

PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in compute...

Deep learning-based computer-aided diagnosis for parotid gland tumors on MRI.

OBJECTIVE: Accurate imaging-based differentiation of benign and malignant parotid tumors is essentia...

Diagnostic Accuracy of Artificial Intelligence for Predicting MGMT Promoter Methylation in Glioblastoma Using MR Imaging: A Systematic Review.

PURPOSE: Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis. O6-methylguanine-DNA-m...

HOW GENETICS CHANGED OR WILL CHANGE THE THERAPY IN THYROID NODULES WITH INDETERMINATE CYTOLOGY.

The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of in...

MRI-based AI framework for predicting lymph node metastasis and prognosis in rectal cancer after neoadjuvant chemoradiotherapy: a multicenter study.

BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCR...

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy.

OBJECTIVES: Based on ultrasound technology and clinical indicators, this study intends to develop mu...

Artificial intelligence for acute appendicitis diagnosis: A systematic review of current evidence, challenges, and future directions.

BACKGROUND: Acute appendicitis remains one of the most common surgical emergencies, yet its diagnosi...

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

BACKGROUND: Artificial intelligence (AI) has shown promise for automating spinal alignment assessmen...

Average glandular dose prediction for breast model with patient-specific fibroglandular distribution in mammography and digital breast tomosynthesis: a machine-learning algorithms comparison.

Objective To investigate Machine Learning (ML) methodologies for predicting glandular dose conversio...

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, par...

Reliability of Rectus Femoris Ultrasound Measurements and Relationship With Truncal Muscle Mass in Healthy Individuals Using Concurrent CT Measurements as the Reference Standard: A Pilot Study.

In chronic diseases, accelerated muscle mass loss is associated with poor clinical outcomes. Compute...

Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, com...

Interactive Deep Learning for Myocardial Scar Segmentation Using Cardiovascular Magnetic Resonance.

BACKGROUND: Following myocardial infarction, late gadolinium-enhancement (LGE) assessed by cardiovas...

Comparing large language models and human experts in interpreting MRI reports for personalized patient education.

RATIONALE AND OBJECTIVES: Knee osteoarthritis (OA) is a prevalent global condition. While MRI guides...

AI-based triage and decision support in mammography and digital tomosynthesis for breast cancer screening: a paired, noninferiority trial.

Artificial intelligence (AI) systems have been demonstrated to improve the accuracy of screening mam...

Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validation.

Lengthy acquisition time remains a key bottleneck for the widespread use of MRI in clinics. While ac...

Wavelet-Transformed Frequency Linked Attention with Selective Hierarchy for Abdominal Organ Segmentation.

The clinical use of computed tomography (CT) scans has been steadily rising due to their ability to ...

A Deep Learning Framework for Enhanced Ovarian Adnexal Mass Classification Using Routinely Acquired Ultrasound Images.

Accurate classification of ovarian masses is crucial for clinical decision-making. B-mode ultrasound...

Prediction of coronary artery disease using retinal optical coherence tomography angiography imaging and electronic health records: a multimodal machine learning approach.

Improved BG-PVS Quantification in Infant Brain MRI Using Anatomy-Informed Pseudo-Labels for Joint BG and PVS Segmentation.

BACKGROUND: Reliable quantification of perivascular spaces (PVS) in the basal ganglia (BG) is of gro...