AI medical trial: "Carebot AI CXR" reads chest X-rays vs. radiologists (completed)
A multi-reader retrospective study evaluating how accurately the AI chest X-ray tool "Carebot AI CXR" (a deep-learning automated detection system) detects findings such as pneumothorax, pulmonary nodules, atelectasis, cardiomegaly, and pleural effusion compared with individual radiologists. Completed with 956 cases.
Trial overview (primary data)
- StatusCompleted
- ConditionsPneumothorax, Pulmonary Nodule, Solitary, Atelectasis, Subcutaneous Emphysema, Cardiomegaly, Consolidation, Pleural Effusion
- InterventionsDEVICE: Carebot AI CXR
- SponsorCarebot s.r.o.
- Target enrollment956 participants
- Period2022-10-18 〜 2023-03-21
Key points
- AI chest X-ray reading "Carebot AI CXR" (deep learning, DLAD) compared with radiologists
- Findings include pneumothorax, nodules, atelectasis, cardiomegaly, consolidation, effusion
- A multi-reader, retrospective design — standard for validating imaging AI
- 956 cases, 2022–2023, completed
- Aims to reduce misses, triage reads, and offset radiologist shortages
A clinical study (NCT05963945) evaluated Carebot's AI chest X-ray (CXR) reading software against radiologists in real-world radiology practice.
Per the registry, it is a multi-reader, retrospective study whose primary objective is to evaluate the performance parameters of the proposed DLAD (Deep Learning Automated Detection) "Carebot AI CXR" compared with individual radiologists. The chest X-ray findings span pneumothorax, solitary pulmonary nodule, atelectasis, subcutaneous emphysema, cardiomegaly, consolidation, and pleural effusion. Enrollment was 956; the period was October 18, 2022 – March 21, 2023; status as of the check date is completed.
Chest X-ray is among the most basic and high-volume imaging exams, and reading it requires expertise and time. AI automated detection is expected to help reduce misses, triage reads, and offset radiologist shortages. Comparing AI detection directly with multiple radiologists, as here, is a standard design for demonstrating the clinical validity of imaging AI.
Why it matters
Chest X-ray AI is a mature area with approved products in many markets. The multi-reader design comparing AI directly with radiologists, and the breadth of findings, are useful references for how medical AI performance is evaluated.
FAQ
What is DLAD?
What is a "multi-reader" study?
Sources (primary)
Source: ClinicalTrials.gov (U.S. NIH/NLM, public domain). This site does not provide medical advice. Verify the latest and exact details with the official source. This site is not endorsed or certified by the NIH/NLM.
- ClinicalTrials.gov (study record, original)
- NCT ID: NCT05963945