Radiology · Chest X-ray enhancement, CAD and triage

ClearRead Xray

Riverain Technologies

HCFDACETGAFDARetrospective

Few AI chest-imaging products carry a regulatory record this long — a 2001 premarket approval for nodule CAD, four 510(k) generations, EU MDR certification in 2022, Health Canada licences and Australian TGA clearances dating to 2009. The independent evidence, however, is thinner and more cautionary than the footprint: reader studies found the nodule CAD too weak to stand alone (62 percent standalone sensitivity in one), and a 2021 Canadian study found bone-subtracted images the least accurate view for pneumothorax. Wide deployment across the US Veterans Health Administration and Department of Defense is vendor-reported. One mark: broad, durable regulatory presence; published evidence that argues for adjunct use, not more.

Performance Metrics

2001PMA-APPROVED CAD LINEAGERapidScreen RS-2000 (P000041) — among the earliest chest-CAD approvals
4JURISDICTIONSFDA, EU MDR, Health Canada, Australian TGA
62% / 58%CAD STANDALONE SENS / SPECOnGuard 5.2, independent study, J Clin Imaging Sci 2017 — why it is adjunctive
≥5 mmPNEUMOTHORAX TRIAGE THRESHOLDK213566 (2022) — notification-only CADt on upright and portable DR

Clinical Evidence

The peer-reviewed record on ClearRead Xray's modules is independent, retrospective and candid about limits. For the nodule-CAD lineage, a 2017 Journal of Clinical Imaging Science study ran OnGuard 5.2 with SoftView 2.4A bone suppression over 100 CT-confirmed chest radiographs and measured standalone [[sensitivity]] of 62 percent and [[specificity]] of 58 percent, at 0.88 false positives per image — concluding that the CAD "does not qualify for a stand-alone standard of diagnosis" and belongs alongside critical radiological assessment. An earlier Journal of Digital Imaging pilot (2013) compared the same CAD across hardware dual-energy subtraction, SoftView software bone suppression and unprocessed films in 52 patients and found no significant difference between suppression methods — but flagged that low sensitivity (under 80 percent) and specificity (under 50 percent) "may limit their utility for clinical radiology". For the image-processing modules the picture is split by task. A 2021 Canadian Association of Radiologists Journal study of 202 patients with pneumothorax found the enhanced radiographs the most accurate view (AUC 0.96–0.99, above unprocessed baseline) but the bone-subtracted images the least accurate (AUC 0.89–0.97), with most false negatives — a direct caution that soft-tissue images must not be read in isolation for pneumothorax. The newest module, ClearRead Xray Pneumothorax, was cleared in 2022 on the strength of a multi-device validation the manufacturer describes as an independent third-party trial of more than 1,100 studies; no peer-reviewed publication of that validation was located in this review, so its performance figures are not reproduced here. No randomised or prospective outcome trial of any ClearRead Xray module was located.

StudyDesignnSensitivitySpecificityAUCPublished
Dellios N, et al. (independent, 100 CT-confirmed radiographs)
RetrospectiveRetrospective
10062% (CAD standalone)58% (CAD standalone)J Clin Imaging Sci 2017; OnGuard 5.2 + SoftView 2.4A; 0.88 false positives/image
Independent reader study, 202 pneumothorax patients (4 readers)
RetrospectiveRetrospective
202not reported as sens/specnot reported as sens/spec0.96–0.99 enhanced vs 0.89–0.97 bone-subtractedCan Assoc Radiol J 2021; enhanced images most accurate for pneumothorax, bone-subtracted least
Independent pilot, 27 malignant-nodule patients + 25 controls
RetrospectiveRetrospective
52<80% (all methods)<50% (all methods)J Digit Imaging 2013; OnGuard 5.2 across dual-energy vs SoftView vs unprocessed — low values 'may limit utility for clinical radiology'

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Inside the algorithm

Editorial feature

How ClearRead Xray processes a chest film.

Five stages — from raw input to verdict — drawn from manufacturer documentation and the public regulatory record.

  1. INGEST
  2. NORMALISE
  3. DETECT
  4. LOCALISE
  5. VERDICT

Stage 01 · INGEST

A standard frontal chest radiograph arrives from the modality or PACS.

ClearRead Xray takes an ordinary digital frontal chest radiograph — no dual-energy acquisition, no second exposure, no added dose. The pneumothorax triage module accepts upright and portable digital radiographs; it is not indicated for scanned film.

The original image is never altered; every module output is an additional series or a worklist signal.

Input

Chest radiograph (DR)

Inference

Per-image

Inside the Auris+ Listing

Five more sections complete this device’s Auris+ Listing.

  • Decision Ledger

    Pro

    Pro unlocks a private, cross-vendor log of every case you read on this device — what the AI called, what you concluded, and a one-line reason if you overrode it. Ready for the EU AI Act's deployer logging obligations when they land in 2028.

  • Clinical Evidence Deep Dive

    Pro

    Pro unlocks the structured clinical-evidence summary — study count, target patient population, and a tabular accuracy-metrics view drawn from peer-reviewed sources.

  • Peer-Reviewed Publications

    Pro

    Pro unlocks the curated peer-reviewed publication list with PubMed cross-links — the citation backbone of every editorial verdict.

  • Post-Market & Regulatory Conditions

    Pro

    Pro unlocks the post-market surveillance summary, recall record, and the conditions of approval that bound real-world use.

  • AI Algorithm Version History

    Pro

    Pro unlocks the chronological record of algorithm version changes — what changed when, drawn from manufacturer changelogs and regulatory filings.

Upgrade to Pro →

Regulatory Approvals

HC
ClearRead Bone Suppression — with +Detect, +Compare and Enhanced licences

78227

FDA
ClearRead Xray Pneumothorax — notification-only CADt, ≥5 mm

K213566

Class II

Source ↗

CE
EU MDR certification (announced) — ClearRead portfolio

Source ↗

TGA
TGA clearance — Xray Confirm (Enhanced) added; Bone Suppress and Compare cleared since 2009

Source ↗

FDA
RapidScreen RS-2000 — nodule CAD lineage (Class III PMA)

P000041

Class III

Source ↗

Safety Record

No safety alerts or recalls on record.

No recall or FDA safety communication specific to ClearRead Xray was found in public reporting as of July 2026 — noting that MAUDE and the FDA enforcement database could not be queried directly from this environment, so this is "none found", not an exhaustive audit. The principal documented clinical risk is task-specific: the 2021 Canadian reader study found bone-subtracted (soft-tissue) images the least accurate view for detecting pneumothorax, with most false negatives — the soft-tissue image is an adjunct to the standard radiograph, never a replacement. The pneumothorax triage module is notification-only: it reprioritises worklists, does not mark findings, and a silent result is not an exclusion of pneumothorax.

Intended Use & Indications

ClearRead Xray is not one algorithm but a module family that has accreted around two decades of chest-radiograph work. The oldest lineage is a premarket approval, not a 510(k): RapidScreen RS-2000 (P000041, approved 2001), a computer-aided detection system for solitary pulmonary nodules of 9–30 mm on digitised frontal chest radiographs, which evolved through supplements into the OnGuard and ClearRead Detect nodule-CAD products. The commercial centre of the modern family is software bone suppression (SoftView, K092363): a single-exposure soft-tissue image that removes rib and clavicle shadow without dual-energy hardware or added dose. Around it sit temporal comparison (DeltaView/Compare, K111776), tube-and-line and general enhancement (+Confirm, K123526), and — the family's first [[deep-learning]]-era triage clearance — ClearRead Xray Pneumothorax (K213566, 2022), a computer-aided triage and notification device that flags cases with suspected pneumothorax of 5 mm or larger for worklist prioritisation on upright and portable digital radiographs. Every module is adjunctive or notification-only: none makes a diagnosis, and the pneumothorax module does not mark the finding on the image.