Radiology

Diagnostic Radiology

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

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Text-to-CT Generation via 3D Latent Diffusion Model with Contrastive Vision-Language Pretraining

Objective: While recent advances in text-conditioned generative models have enabled the synthesis ...

MedBridge: Bridging Foundation Vision-Language Models to Medical Image Diagnosis

Recent vision-language foundation models deliver state-of-the-art results on natural image classif...

Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning

Recent advances in reinforcement learning with verifiable, rule-based rewards have greatly enhance...

[Clinical value of medical imaging artificial intelligence in the diagnosis and treatment of peritoneal metastasis in gastrointestinal cancers].

Peritoneal metastasis is a key factor in the poor prognosis of advanced gastrointestinal cancer pati...

May 2025 40404364
SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images

Medical anomaly detection (AD) is crucial for early clinical intervention, yet it faces challenges...

Diagnostic tools and methods for dermatological assessment.

Advanced clinical practitioners (ACPs) play an essential role in dermatological care but often encou...

May 2025 40396952
Current trends and emerging themes in utilizing artificial intelligence to enhance anatomical diagnostic accuracy and efficiency in radiotherapy.

Artificial intelligence (AI) incorporation into healthcare has proven revolutionary, especially in r...

May 2025 40174629
MedSG-Bench: A Benchmark for Medical Image Sequences Grounding

Visual grounding is essential for precise perception and reasoning in multimodal large language mo...

Research status and progress of deep learning in automatic esophageal cancer detection.

Esophageal cancer (EC), a common malignant tumor of the digestive tract, requires early diagnosis an...

May 2025 40487951
Recent Advances in Medical Imaging Segmentation: A Survey

Medical imaging is a cornerstone of modern healthcare, driving advancements in diagnosis, treatmen...

Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.

The application of artificial intelligence (AI) technology has realized the transformation of people...

May 2025 40369475
Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities.

Artificial intelligence (AI) is the most revolutionizing development in the health care industry in ...

May 2025 35027520
Machine Learning and Deep Learning in Oncologic Imaging: Potential Hurdles, Opportunities for Improvement, and Solutions-Abdominal Imagers' Perspective.

The applications of machine learning in clinical radiology practice and in particular oncologic imag...

May 2025 34270486
The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.

The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mento...

May 2025 40351274
The march to harmonized imaging standards for retinal imaging.

The adoption of standardized imaging protocols in retinal imaging is critical to overcoming challeng...

May 2025 40360070
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review

The diffusion model has recently emerged as a potent approach in computer vision, demonstrating re...

Diagnostic Accuracy of Novel Optical Imaging Techniques for Melanoma Detection: A Systematic Review and Meta-Analysis.

The incidence of melanoma is increasing worldwide, requiring early detection to improve survival rat...

May 2025 40339039
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction

Deep learning-based medical image-to-mesh reconstruction has rapidly evolved, enabling the transfo...

DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation

Radiology Report Generation (RRG) automates the creation of radiology reports from medical imaging...

Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology.

Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiol...

May 2025 40392092
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