Aidoc vs AIRS Medical (2026)
Two imaging AI purchases that can compete for the same budget and do different jobs. Aidoc finds things: aiOS runs detection models across an imaging estate, and its January 2026 clearance (K252970) covers triage of 11 acute findings on chest, abdomen and pelvis CT. AIRS Medical changes the image: SwiftMR removes noise and sharpens MRI after acquisition, so a site can scan faster on scanners it already owns, and its latest clearance (K253775) was validated on images from the scanner makers' own deep learning reconstruction. If urgent findings wait in the queue, start with Aidoc. If scanner time is the bottleneck, start with AIRS. The failure modes differ: a degraded detector stops reprioritizing, while a degraded enhancement produces a cleaner image that may have lost a finding, which is why keeping the original series matters.
- One platform for many models: aiOS runs Aidoc's cleared algorithms and partner algorithms with continuous performance monitoring.
- Performance with its denominator: in the study behind K252970, sensitivity ran from 94.0 to 99.3 percent and specificity from 95.7 to 99.3 percent across 11 findings, on 280 cases per finding from six US sites.
- A documented data path: identifiers are stripped inside the customer's environment before upload and reattached locally when results return.
- Scanner capacity is the problem: SwiftMR enhances MRI of all body parts at field strengths from 0.25 to 3.0 tesla, validated on scans up to 50 percent shorter.
- It runs beside the scanner makers' own reconstruction: its latest clearance was validated on images already processed that way.
- The original survives: original and processed series can be archived separately, and identity is removed inside the hospital before images leave for the cloud.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc and AIRS Medical are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Aidoc | AIRS Medical |
|---|---|---|
| Primary category | Radiology & Imaging AI | Radiology & Imaging AI |
| Founded | 2016 | 2018 |
| Headquarters | Tel Aviv, Israel | Seoul, South Korea |
| Website | aidoc.com | airsmed.com |
Side by Side
Select any grade to read the note behind it.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Aidoc
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Regulatory / FDA
Aidoc received FDA Breakthrough Device Designation for CARE Chest X-Ray Triage, built on its CARE foundation model, covering triage of pneumomediastinum and lobar or lung collapse.
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Clinical evidence
Mercy and Aidoc released a white paper, commissioned by AVIA, reporting on five months of AI deployment across the Mercy health system.
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Regulatory / FDA
The FDA cleared Aidoc's comprehensive abdomen CT triage solution, powered by its self developed CARE foundation model, bringing 11 newly cleared indications together with three previously cleared into a single 14 indication workflow.
Source
AIRS Medical
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Regulatory / FDA
AIRS Medical received FDA 510(k) clearance for SwiftSight Body Composition, which measures visceral and subcutaneous fat, abdominal and thigh muscle, muscle quality and balance, and liver fat from an MRI scan of under five minutes.
Source
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Aidoc sells clinical AI for imaging triage and follow up to health systems, delivered through aiOS, an enterprise platform that runs Aidoc's own FDA cleared algorithms alongside vetted partner algorithms and carries care coordination and patient management. Aidoc Medical was established in early 2016 in Tel Aviv and is led by cofounder and chief executive Elad Walach.
Source: AI Health Index, September 2026
Seoul based MRI AI company with US operations. SwiftMR is a deep learning enhancement tool that reduces noise and sharpens MRI images after acquisition, so sites can scan faster or get better images from the same scan. It works across scanners from the major manufacturers and field strengths from 0.25 to 3.0 tesla, and now alongside scanner makers' own deep learning reconstruction.
Source: AI Health Index, September 2026
Questions buyers ask
How do Aidoc and AIRS Medical work with the EHR?
Aidoc ingests DICOM routed or queried from PACS and VNA or sent from modalities, plus HL7 messages, and returns results to a desktop widget, the native worklist, the reporting system, or PACS as a separate series. Authentication runs through Active Directory, a dedicated single sign on, or sign on through PACS, RIS or dictation software, a practical detail in a radiology department.
AIRS Medical says SwiftMR is compatible with MRI scanners from Siemens Healthineers, GE HealthCare, Philips and Canon Medical. The K253775 validation also covered Esaote, Fonar and Fujifilm scanners. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 27, 2026. No vendor pays for placement.
How are Aidoc and AIRS Medical priced and sold?
Aidoc sells aiOS and its cleared modules to health systems under enterprise agreements through a demo, and maintains an AWS Marketplace listing, which makes the procurement channel public; the listing states that pricing depends on the duration and terms of the contract agreed with the vendor. Whether pricing runs per module, per study volume or per site, and how partner algorithms on aiOS are billed, is not stated.
For AIRS Medical, the site has an ROI calculator and case studies framed on throughput: shorter scans, appointment slots moving from 30 to 20 minutes, and capacity from scanners a site already owns instead of a new purchase. SwiftMR and SwiftSight are separate products, and access starts with a demo request. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 27, 2026. No vendor pays for placement.
How do Aidoc and AIRS Medical handle patient data?
With Aidoc, the company's security and privacy documentation describes a new DICOM object created before upload carrying only non PHI data and a newly generated identifier; analysis runs on that object, and the identifier re-attaches PHI locally when results return.
In AIRS Medical's case, the cloud service is designed not to store, transmit or display PHI or personal information. Data is encrypted with AES-256 at rest and TLS 1.3 in transit, and an on premises deployment keeps images inside the hospital altogether. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 27, 2026. No vendor pays for placement.
Which settings and specialties do Aidoc and AIRS Medical cover?
For Aidoc, the company reports use in more than 1,600 medical centers and names health systems including WellSpan, Mercy, Yale New Haven, St. Luke's and Renown. Validation sits at the level of each cleared indication, with its own FDA review, and the research library is organized by condition.
With AIRS Medical, the validation data included some pediatric scans (8.9 percent). It is sold to imaging centers and hospitals in more than 40 countries. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 27, 2026. No vendor pays for placement.
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AIRS Medical's clearance was tested on signal to noise and sharpness, not diagnostic accuracy, so ask for a reader study at shorter scan times. Aidoc states no business associate status and does not say whether customer studies train its models. Neither publishes pricing.