Data as of Oct 18, 2026Based on 450 AI responses
Reviewed by Dimitry Apollonsky
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | enterprise medical imaging triage flagging critical findings across CT scans and X-rays | enterprise medical imaging triage flagging critical findings across CT scans and X-rays | 28% |
| 2 | FDA-cleared chest X-ray triage and automated detection of critical lung conditions | FDA-cleared chest X-ray triage and automated detection of critical lung conditions | 18% |
| 3 | FDA-cleared chest X-ray triage prioritizing emergency findings like pneumothorax | FDA-cleared chest X-ray triage prioritizing emergency findings like pneumothorax | 15% |
| 4 | real-time neurovascular and vascular emergency triage and care coordination | real-time neurovascular and vascular emergency triage and care coordination | 14% |
| 5 | HIPAA-compliant DICOM annotation tools with specialized radiology interfaces and quality control | HIPAA-compliant DICOM annotation tools with specialized radiology interfaces and quality control | 14% |
| 6 | open-source medical imaging viewers integrating third-party diagnostic algorithms | open-source medical imaging viewers integrating third-party diagnostic algorithms | 14% |
| 7 | comprehensive triage suites detecting multiple findings on chest X-rays and head CTs | comprehensive triage suites detecting multiple findings on chest X-rays and head CTs | 11% |
| 8 | collaborative DICOM image annotation designed specifically for radiology workflows | collaborative DICOM image annotation designed specifically for radiology workflows | 10% |
| 9 | 10% | ||
| 10 | flexible, lightweight open-source imaging servers providing REST APIs | flexible, lightweight open-source imaging servers providing REST APIs | 10% |
| 11 | cloud-native pathology workflows analyzing cancer cells and segmenting tumors | cloud-native pathology workflows analyzing cancer cells and segmenting tumors | 9% |
| 12 | 9% | ||
| 13 | 9% | ||
| 14 | 8% | ||
| 15 | 8% |
Week of Aug 10–16 · Since Jul 5
Widest split: Qure.ai, 24% on ChatGPT Search and 13% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| Aidoc | 29% | 27% | |
| Qure.ai | 24% | 13% | |
| Lunit | 19% | 12% | |
| Viz.ai | 16% | 13% | |
| Encord | 15% | 13% | |
| OHIF | 22% | Outside Google AI Mode's top 25 | |
| Annalise.ai | 19% | Outside Google AI Mode's top 25 | |
| MD.ai | 12% | 8% | |
| Infermedica | 9% | 10% | |
| Orthanc | 11% | 9% |
41% of citations point at the ranked brands’ own sites. pmc.ncbi.nlm.nih.gov, youtube.com, accessdata.fda.gov are the most-cited sites outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
We have a massive backlog of X-rays and need help. Can you point me toward medical imaging AI triage tools that have received FDA clearance?
We're working with medical images (DICOM). What's the best annotation platform with HIPAA compliance and specialized radiology tools?
Which medical imaging AI companies provide API access for radiology triage?
Which medical imaging systems offer the most flexibility for plugging in external AI diagnostic tools via an open API?
What secure medical image annotation software is available that handles clinical review, training data preparation, and algorithm development?