Radiology & Imaging AI
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Iterative Health

Iterative Health, legally Iterative Scopes, Inc., is based in Cambridge, Massachusetts and runs two businesses under one name: a cleared AI device for colonoscopy and a clinical research site network. Its website leads with the research network, and the device is one of three solutions listed in the footer.

SKOUT is real time computer aided polyp detection software. It reads the colonoscope's video, marks potential polyps with boxes on the screen, and leaves every decision to the gastroenterologist. It received FDA 510(k) clearance K213686 in August 2022 for white light colonoscopy in adults having colorectal cancer screening or surveillance, followed by five special 510(k)s for later versions through December 2025. The clearance summary reports a randomized trial of 1,359 patients and standalone testing on 94 polyps, with a per polyp detection rate of 97.9 percent, 22.6 false marks per 15 minutes, and results by sex, age, race, polyp size and histology. The published trial, in Gastroenterology, reports a 27 percent relative increase in adenomas per colonoscopy. In the United States the device is sold through an exclusive distribution partnership with Provation.

The research network owns and operates research sites and embeds research in partner provider organizations, working for pharmaceutical, biotech, device and contract research sponsors. The company reports more than one hundred sites across North America, Europe, India and Australia in gastroenterology, hepatology, obesity and cardiology, and describes using machine learning to pre-screen patients for trial eligibility.

Two things a buyer should weigh. The two businesses are separate propositions for different buyers, with different compliance questions. And nothing published covers HIPAA status, a security attestation, or what happens to procedure video and screened records, including whether they inform model development.

AI Health Index verifiedSeptember 27, 2026
Compare Iterative Health with other vendors
Founded
—
Headquarters
Cambridge, Massachusetts
Categories
radiology-and-imaging-ai, clinical-trials-ai
Indexed Products
SKOUT computer aided polyp detection for colonoscopy (K213686; later 510(k)s through K253664), Clinical research site network (owned and embedded sites), Patient pre-screening for trial eligibility
Buyer Segments
Hospital endoscopy units, Ambulatory surgery centers, Gastroenterology practices, Provider organizations hosting research, Pharmaceutical, biotech and device trial sponsors, Contract research organizations
Assessment

Capability Axes

An AI Health Index grade measures what a buyer can verify from public sources on the date shown. It is not a rating of how good the product is. A vendor can build an excellent system and grade low on an axis because it publishes nothing an outsider can check. How grades read

AI Capability
AA on AI CentralityThe artificial intelligence is the product. Remove the model and there is nothing left to sell.
Regulatory Filing

For SKOUT the model is the device. The K213686 clearance describes an artificial intelligence based algorithm that detects potential colorectal polyps in live colonoscopy video and marks them on screen, and without it there is only the endoscope's picture.

The company's larger business is a clinical research site network, which it describes as using machine learning to pre-screen patients for trial eligibility. That network is a services business whose value does not rest on a model in the same way. SKOUT is the product the company's description leads with, and the one that places it among imaging vendors.

BB on Autonomy and Oversight ModelThe oversight structure is described and one part is missing, commonly the threshold at which the system stops or what happens after it is wrong.
Regulatory Filing

A detection aid during a live procedure, with the gastroenterologist deciding. The K213686 indication is a computer aided detection tool that gives polyp location information to assist trained gastroenterologists during colonoscopy in adults having screening or surveillance, for white light colonoscopy only. It places blue boxes on the live video. The labeling states that the gastroenterologist confirms or rejects each suspected polyp on their own judgment, that the device is not for primary interpretation, diagnosis or treatment recommendations, and that a status indicator shows a green square when running and a red X on error.

What is not published is how the system behaves outside the conditions it was tested in, such as poor bowel preparation, or what guidance an endoscopist gets for a mark they disagree with. Concurrent marking during a live procedure is the configuration most exposed to automation bias, because the operator cannot afterward separate what they saw from what they were shown.

CC on Model and Technology TransparencyThe architecture is described in general terms with nothing identified. Proprietary is asserted rather than explained.
Regulatory Filing

The approach is described only as an artificial intelligence based algorithm. The K213686 summary gives no architecture, training data description or data provenance, though it does publish the device's outputs, its standalone detection and false mark rates, and results by polyp size and histology. Six clearances from 2022 to 2025 show the device is versioned through FDA filings, but what changed in each version is not published.

On the research side, the eligibility screening models have no published description or validation, and the network's activation and enrollment figures measure operations rather than the models.

BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an in house build, a cleared model that cannot be quietly swapped, or a deployment where the transfer does not occur at all. Naming the model provider exits the band below into this one; the axis rises from here on the completeness of the party list and on the terms that govern data once it arrives.
Regulatory Filing

A short chain for the device. SKOUT is the company's own cleared model: K213686 and its five successors are filed by Iterative Scopes, the company's legal name, so the model cannot be swapped without a filing, and no outside model provider sits between the video and the marks.

The research side is less clear. The privacy policy lists categories of service providers, including platform hosting and security monitoring, without naming them, and nothing identifies who hosts screening or trial data.

AA on Clinical and Operational EvidencePeer reviewed or independently evaluated performance, prospective and multi site where the claim requires it, with the method available to read. The grade describes the strength of the evidence, not its direction: a rigorous study that found no benefit grades by its design, and the note leads with what it found.
Regulatory Filing

A multicenter, prospective randomized controlled trial with the method available to read. The K213686 clearance summary reports 1,359 patients in the modified intention to treat population, 682 colonoscopies with SKOUT and 677 without, no adverse events or complications, and, as a second primary endpoint, positive percent agreement of 70.9 percent with the device against 75.7 percent without. The published trial, in Gastroenterology, reports a 27 percent relative increase in adenomas per colonoscopy with the device. Standalone testing on 79 videos and 94 polyps sits behind it.

Adenomas per colonoscopy is a surrogate for cancers prevented rather than an outcome in itself. No evidence is published for the research network's screening models; the network's activation and enrollment figures describe operations.

CC on AI Safety and PHI StewardshipGeneral assurances of privacy and security that do not answer the questions artificial intelligence raises: what is retained, what reaches a model, and what happens to it there.
Vendor Published

General assurances only. The company's privacy policy, updated 1 September 2026, covers personal information from business customers and website visitors, says information is kept as long as necessary to provide the services and protected by industry standard measures, and lists categories of service providers, including platform hosting and security monitoring, without naming them. It does not address patient data, endoscopic video, clinical records or trial data, and states no retention period, training use position or de-identification standard for any of them. The K213686 summary does not say whether video is stored or leaves the procedure room.

The company holds more than one data estate: procedure video from SKOUT, clinical records screened across partner practices to find trial candidates, and trial data held for sponsors. It trains a detection model on endoscopic video and also operates research sites that generate such video, and nothing published says whether video or records from those sites inform model development or whether patients are told.

Regulatory and Compliance
DD on HIPAA and BAA PostureNo statement of status and no privacy document that reaches the product. Both halves are absent at this grade: a service level privacy document on its own lifts a vendor to the band above even where no status is stated. A website privacy notice, including one that says it does not cover customer data, does not reach the product, so a vendor whose only document is that notice and who states no status grades here.
Vendor Published

No statement of HIPAA status is published, and no privacy document reaches the product. The privacy policy covers business customer and website visitor information and does not mention HIPAA, protected health information, business associate agreements or patients, so it does not cover SKOUT's procedure video or the research network's patient records.

Two regimes are in play and neither is addressed. As a device vendor selling to provider organizations, ordinary business associate analysis applies. As an operator of research sites that screens patient records for trial eligibility before anyone has consented, the governing instruments are institutional review board oversight and a research authorization or waiver, and nothing says under whose authority that screening runs. The policy names an EU data protection officer and representative for customer and visitor data only.

DD on Security Certifications and Trust CenterControls are asserted with nothing independent behind them, or nothing is published. Read the note before concluding anything: this is the grade most often corrected on a second pass, because assurance material frequently sits on a parent domain or inside an old announcement rather than on the product pages.
Vendor Published

Nothing independent is published. There is no security page or trust center; the footer carries terms, cookies, privacy and two California notices; and the privacy policy says only that industry standard measures are used, with no certification or attestation named. The K213686 summary carries no cybersecurity statement.

The gap matters because of what the company holds: live procedure video in provider endoscopy suites, and trial data for pharmaceutical, biotech and device sponsors whose vendor assurance programs commonly require an attestation before a supplier handles patient level data.

AA on FDA and Regulatory StatusThe regulatory position is unambiguous and verifiable: a clearance or authorization identifiable in the public databases, with the version and indication it actually covers.
Regulatory Filing

SKOUT holds six FDA 510(k) clearances under the gastrointestinal lesion detection software classification (product code QNP, 21 CFR 876.1520). The original, K213686 on 12 August 2022, was a traditional 510(k) with predicate DEN200055. Special 510(k)s for later versions followed: K230658 (April 2023), K240781 (April 2024), K241508 (July 2024), K251126 (May 2025) and K253664 (December 2025), the last two filed under the Iterative Health name.

The indication is computer aided detection of potential colorectal polyps during white light colonoscopy in adults having screening or surveillance, assisting trained gastroenterologists, and not a replacement for a full patient evaluation. The company presents its research network as services rather than devices.

AA on AI Governance and Bias DisclosureA bias or fairness evaluation with a stated method, subgroup performance, or an independent audit of model behavior. Subgroup performance means published results compared across the groups the product serves, clinical and physiological as well as demographic, so a buyer can see where it underperforms.
Regulatory Filing

The K213686 clearance summary publishes detection results by subgroup, each with its confidence interval. In standalone testing on 79 high definition videos containing 94 polyps, the per polyp detection rate was 97.8 percent for men and 97.9 percent for women, with 25.7 and 20.2 false marks per 15 minutes; 98.4 percent for patients aged 40 to 64 and 97.0 percent at 65 and over; 98.1 percent for polyps under 5 mm and for those of 5 to 9 mm, and 100 percent at 10 mm and over; 100 percent for adenomas and sessile serrated lesions and 96.4 percent for hyperplastic polyps; and 97.5 percent for White patients and 100 percent for Asian and Black patients. So where performance varies across clinical and demographic groups is visible.

Three limits apply. The Asian and Black results are reported as 100 percent with intervals of 100 to 100, which gives no measure of their uncertainty. Bowel preparation quality, which tracks health literacy, support and comorbidity and so varies across populations, is not among the groups reported. And nothing is published on how the research network's patient screening performs across the populations it screens, where under identification would reduce access to trials directly.

BB on AI Liability and RecourseA published falsifiable commitment, or a real correction route the affected person can exercise against the vendor. A published error rate with its method and denominator grades here. A statutory right that runs to the covered entity rather than to the vendor does not reach this band on its own: every other route here asks something of the vendor, and being located in a particular jurisdiction is not conduct.
Regulatory Filing

The company's own clearance filing publishes an error rate with its method and denominator. The K213686 summary reports standalone testing on a predefined set of 79 high definition colonoscopy videos containing 94 polyps: SKOUT detected 92, a per polyp detection rate of 97.87 percent (95 percent confidence interval 94.96 to 100), with 22.55 false marks per 15 minute interval (18.95 to 26.15). At the frame level it marked 55.7 percent of frames showing a polyp and 2.3 percent of frames without one. These are test set results for white light colonoscopy in adults having screening or surveillance, not performance in use. The false mark rate is the figure that decides whether endoscopists keep a detection aid switched on.

No warranty, indemnity or remediation commitment is published, and there is no route for reporting a missed lesion.

Integration and Deployment
CC on EHR and Interoperability DepthIntegration is claimed through standards or a middleware layer with no system named and nothing to verify.
Regulatory Filing

Little integration is required and none is documented. SKOUT sits between the endoscope's video processor and the display, so adoption needs no record system project. Its distribution through Provation, a procedure documentation company, is a sales channel; no published material describes SKOUT results being written into a Provation report or any record system.

On the research side, the company embeds research in partner provider organizations, and how its screening reaches their records, and through what interface, is not described.

CC on Deployment Model and Data ResidencyA single hosted option with location implied rather than committed.
Regulatory Filing

A device in the video path, with where it processes left implied. The K213686 summary describes SKOUT as hardware and software that overlays marks on the endoscopic video, adding 56 to 62 milliseconds of video delay depending on the connection used, which places the system in the procedure room. The summary does not state where inference runs, whether any video is kept after the procedure, or whether the unit connects to a network for updates or data transfer.

The research network raises a separate question. It spans North America, Europe, India and Australia, so trial and screening data can cross borders, and no residency commitment or regional arrangement is published.

Commercial
CC on Commercial TransparencyNo price is published and the posture is discoverable: a buyer can establish how the product is sold and what drives the cost before contacting the vendor. Most of the index sits here.
Vendor Published

No price is published. SKOUT is sold in the United States through an exclusive distribution partnership with Provation, a gastroenterology documentation company, so for many buyers the contracting counterparty is the distributor rather than Iterative Health. Research network services are contracted separately with trial sponsors and provider organizations on a different basis.

How each business sells is public; the unit of charge for either is not.

BB on Setting and Specialty CoverageCoverage is named with validation behind part of it.
Regulatory Filing

Two unrelated scopes, one validated. Iterative Health appears among clinical trials AI vendors because its research network uses machine learning to prescreen patients for trial eligibility; its cleared product is SKOUT, a colonoscopy device that reads live endoscopic video to find polyps. SKOUT covers one procedure in one specialty, white light colonoscopy in adults having colorectal cancer screening or surveillance, validated by a multicenter randomized trial in that population; performance by setting, such as hospital units against ambulatory centers, is not published.

The research network is broad: the company reports more than one hundred sites across North America, Europe, India and Australia in gastroenterology, hepatology, obesity and cardiology, with no published validation of its screening models in any of them. The device and the network serve different buyers and do not depend on each other.

Alternatives

Alternatives to Iterative Health

Vendors in the same categories as Iterative Health whose graded profiles look most alike, with a line on what each product does.

Similar is not the same, so check that each one does the job you need. No vendor pays for placement.

Magentiq Eye is a Haifa company founded in 2014 by Dror Zur that builds real time computer aided detection for colonoscopy.

French imaging AI company based in Paris whose Milvue Suite reads plain radiographs.

ScreenPoint Medical, founded in 2014 by Nico Karssemeijer and Sir Michael Brady and based in Nijmegen in the Netherlands, makes Transpara, breast AI for mammography and tomosynthesis.

Company founded by interventional radiologists to find peripheral arterial disease in imaging already taken.

Imaging AI business of Nasdaq listed Nano-X Imaging, formerly Zebra Medical Vision, acquired in November 2021.

Paris based imaging AI company whose Rayvolve suite reads plain radiographs: AZtrauma detects fractures, dislocations and joint effusions, AZchest covers chest findings including…

Ordered by how closely the graded profiles match across the fifteen axes, inside the same categories. See how each axis is graded in the methodology.

Comparisons

Compared With

Each comparison carries a written verdict, the buyer conditions that favor each vendor, and a graded side by side. Pairs that cross a category boundary are grouped separately, and their verdicts state where the boundary sits rather than manufacturing a head to head.

Head to head

Vendors the index assesses as direct competitors to Iterative Health for the same buyer.

Adjacent comparisons

Products a buyer researches alongside Iterative Health that do a different job: a different category, a different layer of the stack, or a specialist scope. These pages exist to settle whether the comparison is real before it settles which one to pick.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

Entry Price Pricing Basis BAA Tier Implementation Source
Contact the vendor
Device sold through exclusive distribution; separate life sciences service contracts — — Vendor Published

No rate card published. SKOUT is distributed in the United States through an exclusive partnership with Provation, so the contracting counterparty for many buyers will be the distributor rather than Iterative Health. Clinical trial optimization services are contracted separately with life sciences sponsors on a different commercial basis.