
Generative AI models can now produce full radiology reports from chest X-rays, promising increased diagnostic accuracy and efficiency.
Key Details
- 1Generative AI is under investigation for generating full reports from chest X-rays, unlike traditional models focused on single findings.
- 2This approach uses existing radiologists' dictated reports as training ground truth, reducing the need for manual labeling.
- 3Robert Harris PhD of vRad presented these advances at RSNA 2025.
- 4Such models aim to improve diagnostic accuracy, speed up AI development, and enhance quality assurance in radiology.
Why It Matters

Source
Radiology Business
Related News

Real-World Study: Radiology AI Best in Emergency and Inpatient Settings
A commercial AI tool for intracranial aneurysm detection outperformed in inpatient and emergency settings but yielded limited benefits for outpatients in a major health system study.

New Rubric Enhances Safety of AI-Generated Radiology Summaries
Researchers developed a five-factor rubric to assess the safety and quality of AI-generated, patient-friendly radiology report summaries.

Harrison.ai Restructures and Launches U.S. AI-Enabled Teleradiology Venture
Harrison.ai lays off staff amid major restructuring and launches Frontier Radiology, an AI-powered U.S. teleradiology business.