Healthcare AI Triage and Imaging Software has unclaimed recommendation contexts.
Share of supported contexts
share of answers
Data as of Aug 25, 2026 · Based on 1,467 AI responses · See how Parse measures this
Healthcare AI Triage and Imaging Software
Parse
https://parse.gl
Aidoc has solidified its position as the top-cited brand for AI-powered radiology triage, according to AI assistants. Across the healthcare AI niche, the most significant trend since late 2025 has been the rapid rise of specialized imaging analysis tools, displacing earlier leaders in annotation and general triage.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | The most cited platform for AI-driven triage of acute radiological findings. | 31% | |
| 2 | A fast-rising competitor known for its open platform integrating third-party AI algorithms. | 26% | |
| 3 | Previously the top-cited brand, now recommended less but still noted for DICOM annotation. | 18% | |
| 4 | 17% | ||
| 5 | 17% | ||
| 6 | 16% | ||
| 7 | A consistent leader in AI software for detecting cancer in pathology images. | 15% | |
| 8 | Cited as a vendor-neutral 'marketplace' for integrating various radiology AI solutions. | 15% | |
| 9 | 15% | ||
| 10 | 13% | ||
| 11 | An emerging leader with FDA clearance for AI-based chest X-ray triage. | 13% | |
| 12 | Frequently mentioned for its cloud-based pathology analysis for various cancer types. | 12% | |
| 13 | 11% | ||
| 14 | 11% | ||
| 15 | 11% | ||
| 16 | 11% | ||
| 17 | 10% | ||
| 18 | 10% | ||
| 19 | 9% | ||
| 20 | 9% | ||
| 21 | 8% | ||
| 22 | 8% | ||
| 23 | 8% | ||
| 24 | 8% | ||
| 25 | 8% |
Emerged as the dominant brand for triage APIs and FDA-cleared software since Nov 2025.
Became the top-cited platform for open API architecture after appearing in Nov 2025.
Dropped from rank #1 to #14 between October 2025 and March 2026.
Fell from rank #3 to #11 in overall mentions during the observation period.
“A general VNA provider for non-DICOM content.” → “A provider of specific viewer solutions like NilRead for enterprise imaging.”
Who wins on each AI
The same market, seen by two models.
Sources AI cited
aidoc.com is the page AI reaches for most here, cited in 29% of analyzed answers.
Share of supported contexts
share of answers
Share of direct mentions
share of answers
Aidoc has solidified its position as the top-cited brand for AI-powered radiology triage, according to AI assistants. Across the healthcare AI niche, the most significant trend since late 2025 has been the rapid rise of specialized imaging analysis tools, displacing earlier leaders in annotation and general triage.
Across 1,467 AI responses, Aidoc is mentioned most, named in 31% of them, followed by Harrison.ai (26%) and MD.ai (18%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,467 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
MD.ai was the dominant recommendation for DICOM annotation in late 2025, consistently cited by ChatGPT and Google AI Overviews. However, by early 2026, its lead narrowed as platforms like
Encord,
V7 Labs, and
RedBrick AI were mentioned more frequently, indicating a more competitive landscape.
Aidoc became the undisputed leader for this prompt, with its mention rate growing steadily from 50% in November 2025 to over 75% by March 2026. Other consistently mentioned companies providing API-driven triage include
, , and .
+4 more
share of answers
Which medical imaging AI companies provide API access for radiology triage?
Aidoc became the undisputed leader for this prompt, with its mention rate growing steadily from 50% in November 2025 to over 75% by March 2026. Other consistently mentioned companies providing API-driven triage include
Viz.ai,
Qure.ai, and
Harrison.ai.
The market map