At a glance
ClinicalIndex Comparison RecordStandardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.
A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice
In Brief
A clinical study evaluating radiologists reference AI reports for X-Ray and 2 related conditions. Completed, enrolled 296 participants across 3 sites.
Detailed Summary
There's a global shortage of radiologists. Radiology AI's automatic reporting is key for boosting efficiency and meeting patient needs, especially in resource-poor areas. Multimodal large models enable medical image auto-reporting systems. ChatGPT 4o can diagnose medical images but has issues like being closed-source and "hallucinations." The new open-source Janus Pro 1B-with strong performance, "any-to-any" capability, low cost, and open access-shows potential for medical imaging tasks with training. But little research explores its use here; most models are general, lacking field-specific optimization and systematic evaluation. This study will develop Janus Pro 1B-CXR (a medical image-specific model) via public data, test its value in diagnosis and reporting, and build an efficient automated system.
Study Details
Timeline
Interventions
Radiologists generate reports with reference to AI reports