
| Company Name | Carebot |
| Founded | 2021 |
| Head office | Prague, Czech Republic |
| Website | https://www.carebot.com/en/carebot |
| Contact | info@carebot.com |
Radiologic abnormal finding detection, Textual report generation, Worklist prioritisation
Carebot AI CXR is a deep learning-based decision support software that assists radiologists in interpreting chest X-ray images in AP/PA projection. It serves as a secondary reader of key radiological findings, including atelectasis, consolidation, cardiomegaly, (lateral) pleural effusion, pulmonary lesions, pneumothorax, subcutaneous emphysema and external devices. Deep learning algorithms within the Carebot AI CXR detect and localize areas of interest and provide a simplified text report of the analysis result by individual finding. The software is designed to be used in combination with PACS and DICOM viewers.
Fracture detection, Textual report generation, Worklist prioritization
Carebot AI Bones is a deep learning-based decision support software that assists radiologists in interpreting X‑ray images of the appendicular skeleton (upper/lower limbs and pelvis) in patients aged ≥1 year. It analyzes musculoskeletal X-rays, highlights suspected fractures, assigns image/study risk scores, and generates a preliminary text report. The software is designed to be used in combination with PACS and DICOM viewers.
BI-RADS A-D breast density classification, Breast lesion detection, DICOM structured report, Graphical DICOM overlays, Image-quality defect flags, Lesion localisation, Lesion risk scoring, PGMI mammography quality assurance, Worklist prioritisation
Carebot AI MMG is a deep learning-based decision support software that assists radiologists in interpreting standard 2D digital mammography screening examinations in women aged ≥18 years. It highlights suspected breast lesions or architectural distortion, assigns lesion/study risk scores, assesses breast density, performs quality assessment, and generates text and graphical DICOM outputs. The software is designed to be used with PACS and DICOM-compatible viewers