Radiology

Diagnostic Radiology

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

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A segment anything model-guided and match-based semi-supervised segmentation framework for medical imaging.

BACKGROUND: Semi-supervised segmentation leverages sparse annotation information to learn rich repre...

Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.

The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lea...

Intelligent Bi-Dimensional Skin Biopsies of Rheumatoid Arthritis Based on Raman Spectral Imaging and Machine Learning.

Rheumatoid arthritis (RA) is one of the most common autoimmune diseases worldwide, characterized by ...

Knowledge Graph-Based Few-Shot Learning for Label of Medical Imaging Reports.

BACKGROUND: The application of artificial intelligence (AI) in the field of automatic imaging report...

A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

For decades, electron microscopy has been the primary method to visualize ultrastructural details of...

CLIP in medical imaging: A survey.

Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, succes...

Artificial Intelligence for Teaching Case Curation: Evaluating Model Performance on Imaging Report Discrepancies.

RATIONALE AND OBJECTIVES: Assess the feasibility of using a large language model (LLM) to identify v...

The Road Map for ACR Practice Accreditation for Radiology Artificial Intelligence.

As the use of artificial intelligence (AI) continues to grow in radiology, it has become clear that ...

Measuring the severity of knee osteoarthritis with an aberration-free fast line scanning Raman imaging system.

Osteoarthritis (OA) is a major cause of disability worldwide, with symptoms like joint pain, limited...

Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.

The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such ...

Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis.

BACKGROUND: Artificial intelligence (AI) presents a promising approach to balancing high image quali...

Non-Invasive Biomarkers in the Era of Big Data and Machine Learning.

Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are o...

Deep structured learning with vision intelligence for oral carcinoma lesion segmentation and classification using medical imaging.

Oral carcinoma (OC) is a toxic illness among the most general malignant cancers globally, and it has...

CT Imaging of the Pancreas: A Review of Current Developments and Applications.

Pancreatic cancer continues to pose daily challenges to clinicians, radiologists, and researchers. T...

Large-scale benchmarking and boosting transfer learning for medical image analysis.

Transfer learning, particularly fine-tuning models pretrained on photographic images to medical imag...

Applications of Artificial Intelligence in Acute Thoracic Imaging.

The applications of artificial intelligence (AI) in radiology are rapidly advancing with AI algorith...

Diagnosis of Acute Appendicitis with Machine Learning-Based Computer Tomography: Diagnostic Reliability and Role in Clinical Management.

Acute appendicitis (AA) is a common surgical emergency affecting 7-8% of the population. Timely dia...

Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.

BACKGROUND: Machine learning and AI promise to revolutionize the way we leverage medical imaging dat...

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