Diagnostic Radiology

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

1,441 articles

Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 442-462 of 1,441 articles

Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models

The emergence of large-scale pre-trained vision foundation models has greatly advanced the medical...

Mar 2025 http://arxiv.org/abs/2503.00744v1

PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion

Developing reliable and generalizable deep learning systems for medical imaging faces significant ...

Feb 2025 http://arxiv.org/abs/2503.00196v1

M^3Builder: A Multi-Agent System for Automated Machine Learning in Medical Imaging

Agentic AI systems have gained significant attention for their ability to autonomously perform com...

Feb 2025 http://arxiv.org/abs/2502.20301v1

MobileViM: A Light-weight and Dimension-independent Vision Mamba for 3D Medical Image Analysis

Efficient evaluation of three-dimensional (3D) medical images is crucial for diagnostic and therap...

Feb 2025 http://arxiv.org/abs/2502.13524v4

Multi-Scale Transformer Architecture for Accurate Medical Image Classification

This study introduces an AI-driven skin lesion classification algorithm built on an enhanced Trans...

Feb 2025 http://arxiv.org/abs/2502.06243v1

A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography

The rapid advancements in large language models (LLMs) have unlocked their potential for multimoda...

Feb 2025 http://arxiv.org/abs/2502.05926v1

A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation

Segmentation of 3D medical images is a critical task for accurate diagnosis and treatment planning...

Feb 2025 http://arxiv.org/abs/2502.05396v1

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges

Deep learning techniques are increasingly being adopted in diagnostic medical imaging. However, th...

Feb 2025 http://arxiv.org/abs/2502.04748v1

Foundation Models in Radiology: What, How, Why, and Why Not.

Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning...

Feb 2025 39903075

AI Applications for Thoracic Imaging: Considerations for Best Practice.

Artificial intelligence (AI) technology is rapidly being introduced into thoracic radiology practice...

Feb 2025 39998373

An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training

The clinical adoption of artificial intelligence (AI) in medical imaging requires models that are ...

Jan 2025 http://arxiv.org/abs/2501.15579v2

AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications

Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the...

Jan 2025 http://arxiv.org/abs/2501.15489v1

A generalizable 3D framework and model for self-supervised learning in medical imaging

Current self-supervised learning methods for 3D medical imaging rely on simple pretext formulation...

Jan 2025 http://arxiv.org/abs/2501.11755v1

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

Datasets play a critical role in medical imaging research, yet issues such as label quality, short...

Jan 2025 http://arxiv.org/abs/2501.10727v1

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Vision foundation models have achieved remarkable progress across various image analysis tasks. In...

Jan 2025 http://arxiv.org/abs/2501.09138v1

Vision Foundation Models for Computed Tomography

Foundation models (FMs) have shown transformative potential in radiology by performing diverse, co...

Jan 2025 http://arxiv.org/abs/2501.09001v2

MIAFEx: An Attention-based Feature Extraction Method for Medical Image Classification

Feature extraction techniques are crucial in medical image classification; however, classical feat...

Jan 2025 http://arxiv.org/abs/2501.08562v1

MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis

As deep learning models gain attraction in medical data, ensuring transparent and trustworthy deci...

Jan 2025 http://arxiv.org/abs/2501.06887v1

KM-UNet KAN Mamba UNet for medical image segmentation

Medical image segmentation is a critical task in medical imaging analysis. Traditional CNN-based m...

Jan 2025 http://arxiv.org/abs/2501.02559v1

Artificial Intelligence in Pancreatic Intraductal Papillary Mucinous Neoplasm Imaging: A Systematic Review

Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management o...

Jan 2025 10.1101/2025.01.08.25320130

Application of Generative Artificial Intelligence to Utilise Unstructured Clinical Data for Acceleration of Inflammatory Bowel Disease Research

Inflammatory bowel disease (IBD) research is a dynamic field. However, the growing volume of electro...

Jan 2025 10.1101/2025.03.07.25323569

Radiology