Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT

Deep learning-based segmentation of genito-pelvic structures in MRI and CT is crucial for applicat...

Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound

Accurate speed-of-sound (SoS) estimation is crucial for ultrasound image formation, yet convention...

A Modular Edge Device Network for Surgery Digitalization

Future surgical care demands real-time, integrated data to drive informed decision-making and impr...

BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model

The BI_RADS score is a probabilistic reporting tool used by radiologists to express the level of u...

Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation

Medical ultrasound imaging is ubiquitous, but manual analysis struggles to keep pace. Automated se...

Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification

This research proposes a very lightweight model "Fibonacci-Net" along with a novel pooling techniq...

Artificial Intelligence-based Software for Breast Arterial Calcification Detection on Mammograms.

OBJECTIVE: The performance of a commercially available artificial intelligence (AI)-based software t...

Mar 2025 39471407
Evaluation of a Multi-Instant Multimodal Artificial Intelligence System Supporting Interpretive and Noninterpretive Functions.

OBJECTIVE: Artificial intelligence (AI) has been shown to hold promise for improving breast cancer s...

Mar 2025 39607756
The Impact of Artificial Intelligence on Emergency Medicine: A Review of Recent Advances

Artificial Intelligence (AI) is revolutionizing emergency medicine by enhancing diagnostic process...

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection

While research has established the potential of AI models for mammography to improve breast cancer...

LEAVS: An LLM-based Labeler for Abdominal CT Supervision

Extracting structured labels from radiology reports has been employed to create vision models to s...

Integrating AI for Human-Centric Breast Cancer Diagnostics: A Multi-Scale and Multi-View Swin Transformer Framework

Despite advancements in Computer-Aided Diagnosis (CAD) systems, breast cancer remains one of the l...

MedLoRD: A Medical Low-Resource Diffusion Model for High-Resolution 3D CT Image Synthesis

Advancements in AI for medical imaging offer significant potential. However, their applications ar...

VasTSD: Learning 3D Vascular Tree-state Space Diffusion Model for Angiography Synthesis

Angiography imaging is a medical imaging technique that enhances the visibility of blood vessels w...

Feasibility study for reconstruction of knee MRI from one corresponding X-ray via CNN

Generally, X-ray, as an inexpensive and popular medical imaging technique, is widely chosen by med...

A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos

Carotid atherosclerosis represents a significant health risk, with its early diagnosis primarily d...

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation

Clinically acquired brain MRIs and radiology reports are valuable but underutilized resources due ...

A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI

Understanding the relationship between vocal tract motion during speech and the resulting acoustic...

ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement

In clinical imaging, magnetic resonance (MR) image volumes are often acquired as stacks of 2D slic...

AI and Deep Learning for Automated Segmentation and Quantitative Measurement of Spinal Structures in MRI

Background: Accurate spinal structure measurement is crucial for assessing spine health and diagno...

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