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Apollo Hospitals CXR Anomaly Detection AI

Apollo Hospitals Enterprise Ltd · Operations & Productivity

SaaSNo attestation published

Certification per Microsoft Marketplace.

Detecting Abnormal Chest X-rays using Deep LearningChest x ray Anomaly Detection
Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 7 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

  • A deep learning image prediction model, developed using Indian data combined

with datasets from other countries, achieves higher accuracy compared to

Show the rest of the publisher’s description (26 more lines)

conventional risk scores.

  • Google Research & Apollo Hospital Collaboration Initiative
  • Feedback Loop from the prospective use in patients
  • Validated using various National & International Data sets
  • QMS: ISO 13485:2016 Certified, MDSAP

Certified

Interpretation

& Adoption Message

  • AI Algorithm + Clinicians: The chest X-ray anomaly detection AI model has been built

as an adjunct tool for physicians to detect the chest radiograph

as "normal" or "abnormal." When simulating the Model,

the system reduced the turnaround time for abnormal cases by up to 28%.

  • Risk

Identification and Prevention: This AI model for chest X-ray anomaly detection

enhances the availability, accuracy, and consistency of chest X-ray

interpretation, aiding in case prioritization and rapid triaging of anomalies

while streamlining clinical workflows. However, it is intended to complement

clinical judgment and should not be relied upon as the sole method for

detecting anomalies in chest radiographs.

  • Where

to use: The Chest X-ray Anomaly Detection AI tool can be utilized by

physicians across various scenarios requiring quick and accurate chest X-ray

evaluations. These include preventive health screenings, emergency rooms for

case prioritization and rapid triaging, and settings with limited access to

trained radiologists. Additionally, it facilitates the efficient review process

by enabling the batching of negative chest X-rays for streamlined analysis.

Preview

4 images
Apollo Hospitals CXR Anomaly Detection AI preview 1Apollo Hospitals CXR Anomaly Detection AI preview 2Apollo Hospitals CXR Anomaly Detection AI preview 3Apollo Hospitals CXR Anomaly Detection AI preview 4

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-07

CompanyApollo Hospitals Enterprise LimitedAutomated
HQIndiaAutomated
IndustryHealth CareAutomated
Websitehttps://www.apollohospitals.com/

Plans and pricing as listed

1 listed
CXR Anomaly Detection AI Subscription Plan
  • API Call Details/Unit Price: $5.00 per api call
$43,000.00/month
CXR Anomaly Detection AI Subscription Plan

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

3 links
Apollo CXR Anomaly Detection AI IFUcatalogartifact.azureedge.netSource
Apollo CXR Anomaly Detection AI walkthrough videowww.youtube.comSource
Pricing
Paid
1 plan listed
Delivery
SaaS
https://clinical-ai-apps.apollohospitals.com/
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