New Open-Source AI aims to speed up chest X-Ray reports
NCT ID NCT07117266
First seen Jun 24, 2026 · Last updated Jun 26, 2026 · Updated 1 time
Summary
This study tested a new AI system (Janus Pro 1B-CXR) designed to help radiologists interpret chest X-rays. The AI was developed using public data and evaluated in 296 patients with suspected chest diseases. Researchers compared report quality, reading time, and agreement between junior radiologists using the AI and those working without it. The goal is to see if this low-cost, open-source AI can improve efficiency and accuracy in clinical practice, especially in areas with a shortage of radiologists.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI system (Janus Pro 1B-CXR) for chest X-ray interpretation
- What this could lead to
- If successful, this AI could help radiologists work faster and more accurately, especially in areas with few specialists, potentially improving diagnosis of chest diseases like pneumonia or lung cancer.
- What could go wrong
- This is a small, completed study (296 participants) testing a new AI model. The AI may not perform as well in real-world settings or with different patient groups, and it hasn't been compared to other advanced AI systems in routine practice.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for AI (ARTIFICIAL INTELLIGENCE) are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
The First Affiliated Hospital of Henan University of science and technology
Luoyang, 471003, China
-
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, 450002, China
-
Union Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology
Wuhan, 430023, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can a simple CT scan catch lung cancer earlier in kuwait?
- Can a new drug combo revive Immunotherapy's power against resistant tumors?
- Seeing the fight: new imaging tracer may reveal how immune cells attack lung cancer
- AI could outsmart bacteria: a smarter way to choose antibiotics?
- Your Tumor's DNA might predict immunotherapy success
- Breathing technique may outperform spirometry for smog pneumonia recovery