Retrospective Study of Carebot AI CXR Performance in Preclinical Practice
NCT05594485 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 127
Last updated 2023-07-13
Summary
The purpose of this study is to describe the design, methodology and evaluation of the preclinical test of Carebot AI CXR software, and to provide evidence that the investigated medical device meets user requirements in accordance with its intended use. Carebot AI CXR is defined as a recommendation system (classification "prediction") based on computer-aided detection. The software can be used in a preclinical deployment at a selected site before interpretation (prioritization, display of all results and heatmaps) or after interpretation (verification of findings) of CXR images, and in accordance with the manufacturer's recommendations. Given this, a retrospective study is performed to test the clinical effectiveness on existing CXRs.
Conditions
- Artificial Intelligence
- Lung Diseases
- Pneumothorax
- Pleural Effusion
- Cardiomegaly
- Lung Cancer
- Pulmonary Edema
- Consolidation
- Pneumonia
- Atelectasis
- Hilar Calcification
- Fracture Rib
Interventions
- DEVICE
-
Carebot AI CXR
Carebot AI CXR is a deep learning-based software that assists radiologists in the interpretation of chest radiographs in posterior-anterior (PA) or anterior-posterior (AP) projections. The solution with artificial intelligence automatically detects abnormality based on visual patterns for the following findings: atelectasis, consolidation, cardiomegaly, mediastinal widening, pneumoperitoneum, pneumothorax, pulmonary edema, pulmonary lesion, bone fracture, hilar enlargement, subcutaneous emphysema, and pleural effusion.
Sponsors & Collaborators
-
Carebot s.r.o.
lead INDUSTRY
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-08-15
- Primary Completion
- 2022-08-17
- Completion
- 2022-10-20
Countries
- Czechia
Study Locations
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