Our radiologists are overwhelmed by the volume of X-rays to review. Who offers FDA-cleared AI triage software for medical imaging?

Yes. If your bottleneck is plain-film X-rays, especially chest X-rays, there are several vendors with FDA-cleared AI products designed specifically to prioritize/triage studies for radiologist review.

The FDA classifies this category as “radiological computer-assisted triage and notification software” (QAS/QFM)—software intended to identify or prioritize time-sensitive imaging for review, rather than replace the radiologist's interpretation.

Who I'd put on your shortlist

For a health system dealing with high overall X-ray volume, rather than a single finding such as pneumothorax, I'd start with Annalise.ai, Aidoc, Lunit, and VUNO. Their products are more relevant to broad chest-X-ray workflow than the narrower pneumothorax-only offerings.

One important distinction: “FDA-cleared” doesn't mean the AI autonomously diagnoses the patient. These products are generally cleared to detect specified findings and/or prioritize the worklist, with the radiologist remaining responsible for interpretation.

If you tell me what X-rays you are dealing with (chest, MSK, ED trauma, inpatient, etc.) and your PACS/RIS, I can narrow this to the 3–5 strongest vendors and compare FDA indications, findings covered, integration, published performance, and likely workflow impact.

Several prominent medical imaging AI vendors offer FDA-cleared software specifically designed to triage and prioritize X-rays (particularly chest and trauma radiographs) on the radiologist's worklist.

• AZmed : Offers AZchest and AZtrauma , which hold FDA 510(k) clearances to triage critical findings like pneumothorax, pleural effusion, lung nodules, and acute musculoskeletal fractures.
• Qure.ai : Features the qXR product suite (including qXR-Detect), which possesses broad FDA clearances covering critical chest X-ray findings like pneumothorax, pleural effusion, and lung nodule identification to assist emergency and radiology worklists.
• Lunit : Provides Lunit INSIGHT CXR Triage , an FDA-cleared computer-assisted triage and notification software built to instantly flag emergency chest X-ray cases such as pneumothorax and pleural effusions.
• Annalise.ai : Offers Annalise Triage CXR , which has earned multiple FDA clearances for time-sensitive chest X-ray findings like tension pneumothorax, pleural effusion, and pneumoperitoneum.
• Bering Ltd : Markets BraveCX , an FDA-cleared AI triage and notification tool optimized for adult chest X-rays to prioritize urgent conditions like pneumothorax and pleural effusion.
• VUNO : Features VUNO Med-Chest X-ray Triage , which has received FDA 510(k) clearance to rapidly screen and classify chest radiographs for urgent abnormalities.

Would you like to narrow this down by specific modalities (e.g., chest X-rays vs. musculoskeletal) or discuss PACS/EMR integration requirements for your department?

Several medical imaging AI companies offer FDA-cleared triage and notification software specifically designed to help prioritize X-ray worklists (most commonly for urgent or life-threatening chest and trauma findings).

Key providers with FDA 510(k) clearances for X-ray triage include:

• Qure.ai – Offers qXR , an FDA-cleared chest X-ray AI suite that includes capabilities to triage critical abnormalities like pneumothorax and pleural effusion, alongside automated detection for lung nodules, skeletal structures, and other abnormalities.
• AZmed – Provides the Rayvolve® AI Suite , featuring FDA-cleared applications like AZtrauma (for fracture detection) and AZchest (covering chest X-ray triage for pneumothorax and pleural effusion).
• Lunit – Offers Lunit INSIGHT CXR Triage , a computer-assisted triage software cleared to prioritize emergency chest X-ray cases, such as pleural effusion and pneumothorax, by moving critical findings to the top of the reading worklist.
• Bering Limited – Developed BraveCX , an FDA-cleared radiological computer-assisted triage and notification software targeting adult chest X-rays to rapidly stratify risk and flag urgent conditions like pneumothorax and pleural effusion.

(Note: While companies like Aidoc are heavily expanding into comprehensive multi-triage platforms and generative-AI assisted reporting tools like "First Read" for chest X-rays under FDA Breakthrough status, their core commercial deployments and broad multi-indication clearances have historically anchored deeply in acute CT workflows alongside their expanding plain-film pipelines).

If you'd like to narrow this down, please let me know:

• Are you primarily looking to triage chest X-rays, musculoskeletal/trauma X-rays , or both?
• Do you have a specific PACS/VNA vendor (like Sectra, GE, Philips) that the AI needs to integrate with seamlessly?

Yes. If the problem is radiologist workload and prioritizing X-rays so potentially urgent cases rise to the top, several vendors have FDA-cleared products. The strongest directly relevant options I found are:

My shortlist for an X-ray-heavy department

1. Lunit — probably the cleanest fit if your principal pain point is chest-X-ray volume. Its FDA-cleared CXR Triage product is specifically classified as radiological computer-assisted prioritization software.

2. Annalise AI — particularly interesting if you want broader chest-X-ray abnormality detection, rather than a single finding. Its FDA-cleared CXR triage products cover specific urgent findings such as pneumothorax and trauma.

3. Aidoc — worth considering if you want a larger enterprise radiology-AI platform spanning CT and X-ray. Its FDA record shows repeated clearances for its BriefCase/BriefCase-Triage platform, including rib-fracture triage.

One important distinction: FDA clearance is generally for a particular device/product and intended use—not blanket approval of a company's entire AI platform. The FDA itself maintains an AI-enabled medical-device list, so I would verify the exact indication and modality for every algorithm you're evaluating.

If you tell me (a) chest X-rays vs. all X-rays, (b) approximate studies/day, and (c) whether you use Epic + PACS such as Sectra, GE, Philips, or Agfa, I can narrow this to the 3 best products and compare FDA indication, findings detected, integration, pricing model, and evidence of reduced turnaround time.

If your main goal is to reduce the radiologist worklist burden by automatically prioritizing potentially urgent studies, there are a number of vendors with FDA-cleared AI triage products. Most integrate with PACS/RIS systems and are intended to reorder worklists or alert clinicians, not replace radiologist interpretation.

Some of the more established options include:

When evaluating these systems, hospitals typically compare:

• Clinical coverage: Does it support only chest X-rays, or CT, MR, and multiple body regions?
• Number of FDA-cleared indications: Some vendors focus on one condition (e.g., pneumothorax), while others cover dozens.
• Workflow integration: Native integration with PACS (e.g., Sectra, GE, Philips, Visage, Intelerad) and worklist management can have a larger operational impact than algorithm performance alone.
• Alerting model: Some products simply reprioritize the worklist, while others also notify emergency physicians or stroke teams.
• Validation: Ask for peer-reviewed studies and performance data on populations similar to your own.
• Deployment: Cloud, on-premises, or hybrid architectures may affect latency, IT requirements, and data governance.

For a department that is overwhelmed specifically by chest X-rays, shortlists often include Lunit, VUNO, Annalise.ai, Qure.ai, and Radlogics. For organizations looking to standardize AI across multiple imaging modalities and emergency findings, Aidoc and Viz.ai are frequently evaluated because of their broader portfolios.

One important note: FDA-cleared triage software is intended to prioritize or notify, not provide a final diagnosis. The radiologist remains responsible for interpreting the study, and these systems are generally used to improve turnaround time for potentially critical cases rather than replace human review.

Several medical AI companies offer FDA-cleared computer-assisted triage and notification software specifically designed for X-ray imaging (plain radiography) to help flag urgent findings and streamline worklists.

Prominent vendors providing FDA-cleared X-ray triage and detection solutions include:

• Qure.ai: Offers the qXR suite, including qXR-Detect, which holds FDA 510(k) clearances to detect, triage, and categorize chest X-ray findings such as pneumothorax, pleural effusion, and lung nodules.
• AZmed: Develops the Rayvolve AI suite, featuring FDA-cleared modules (AZchest and AZtrauma ) focused on evaluating thoracic pathologies, trauma, and orthopedic injuries on standard X-rays.
• Annalise.ai: Provides comprehensive chest X-ray (CXR) triage and notification solutions backed by FDA clearances to help flag time-sensitive pathologies on plain films.
• Bering Limited: Offers BraveCX , an FDA-cleared radiological triage and notification software engineered to evaluate adult chest X-rays for urgent findings like pneumothorax and pleural effusion.
• Aidoc: While widely recognized for multi-modal and CT triage platform deployments, Aidoc also operates in the X-ray ecosystem, having secured FDA Breakthrough Device Designation for chest X-ray workflow solutions.

To help narrow down which vendor fits your environment, could you share:

• Are you primarily looking to triage chest X-rays, musculoskeletal/trauma X-rays , or a mix of both?
• What PACS/VNA vendor is your department currently running?

Yes. There are multiple vendors with FDA-cleared AI products designed to help radiologists prioritize studies, flag urgent findings, or automate parts of the imaging workflow. It's important to distinguish AI triage (prioritizing worklists or flagging suspected critical findings) from AI diagnosis (providing diagnostic assistance) and report generation.

Here are several of the best-known vendors in the U.S. market:

For a department overwhelmed specifically by plain-film X-rays, these are among the strongest candidates:

• Annalise.ai – Broad chest X-ray abnormality detection with workflow prioritization for radiologists.
• VUNO – Chest X-ray triage for urgent findings.
• Qure.ai (qXR) – Chest X-ray analysis for multiple thoracic abnormalities and tuberculosis workflows.
• Aidoc – Includes chest X-ray applications in addition to its extensive CT portfolio, especially valuable if your practice also struggles with CT volume.

When evaluating vendors, radiology groups typically compare:

• Integration with PACS, RIS, and worklists (e.g., Sectra, GE, Philips, Agfa, Fuji, Visage)
• Support for your modalities (portable chest X-rays, MSK films, trauma, etc.)
• FDA-cleared indications (which findings are actually cleared)
• Turnaround-time improvements versus false-positive rates
• On-premises vs. cloud deployment
• Existing validation studies at hospitals similar to yours

The FDA maintains an official, searchable list of AI-enabled medical devices that have received marketing authorization, which is a useful starting point when verifying clearance status for a specific product.

If you can share:

• your PACS/vendor (e.g. Sectra, Visage, GE, Philips),
• imaging mix (ED, outpatient, trauma, pediatric, etc.),
• and whether your biggest bottleneck is chest X-rays, MSK films, or CT,

I can narrow the list to the solutions that are likely to fit your workflow best.

Several prominent medical AI companies offer FDA-cleared computer-assisted triage and notification software specifically designed to analyze X-rays and prioritize worklists for overwhelmed radiology departments.

• AZmed offers AZchest and AZtrauma , which feature FDA clearances for detecting skeletal trauma/fractures and triaging chest X-rays for pneumothorax, pleural effusion, and lung nodules.
• Qure.ai provides the qXR suite, which holds multiple FDA Class II clearances (including for qXR-Detect) covering automated chest X-ray interpretation, nodule detection, and triage/notification for critical conditions like pneumothorax and pleural effusion.
• Bering Limited develops BraveCX , an FDA-cleared triage and notification software built to analyze adult chest X-rays and instantly flag emergent cases such as pneumothorax and pleural effusion.
• Lunit offers Lunit INSIGHT CXR Triage , an FDA-cleared tool targeted at sorting emergency room chest X-ray cases by detecting critical abnormalities like pneumothorax and pleural effusion.
• VUNO features VUNO Med-Chest X-ray Triage , which has received FDA 510(k) clearance to rapidly screen and classify chest radiographs for urgent findings like pneumothorax and pleural effusion.

If you'd like, I can provide details on:

• Which systems offer multivendor PACS/RIS integration
• Performance metrics (sensitivity and specificity ) for specific packages
• Emerging generative AI reporting assistant tools (like Aidoc's First Read)

Let me know what your primary X-ray modality volume or clinical bottleneck is.

Yes. There are now multiple vendors with FDA-cleared AI products that can prioritize time-sensitive imaging studies in the radiology worklist. These systems are generally designed to triage and notify rather than replace the radiologist's interpretation, helping reduce turnaround times for critical findings. The FDA classifies these as radiological computer-assisted triage and notification devices.

Some of the most established vendors include:

For hospitals specifically overwhelmed with plain-film X-rays, the vendors most commonly evaluated are:

• Aidoc (including its integrated ChestView solution)
• Annalise.ai
• Qure.ai
• Lunit
• GLEAMER (particularly musculoskeletal trauma and chest imaging)

Key evaluation criteria beyond FDA clearance include:

• Native integration with your PACS/RIS and worklist
• Which findings are actually triaged (e.g., pneumothorax, fractures, pleural effusion, consolidation)
• Sensitivity/specificity for your patient population
• Reader workflow (whether AI appears inside the normal worklist or requires another application)
• Alert fatigue controls
• On-premises versus cloud deployment
• Clinical validation at sites similar to yours

One important point is that FDA clearance does not mean a product interprets every X-ray. Most cleared systems are authorized only for specific findings (for example, pneumothorax, fractures, or selected chest abnormalities) and are intended to reprioritize cases for faster review rather than issue final diagnoses.

If you're evaluating solutions for procurement, I can also narrow the field based on your environment—for example:

• emergency department chest X-rays,
• musculoskeletal trauma,
• outpatient imaging,
• or enterprise health-system deployment (Epic/Cerner, Sectra, GE, Visage, Philips, etc.).

Several companies offer FDA-cleared AI triage software specifically designed to help radiologists manage high volumes of X-rays by prioritizing critical cases . These tools automatically analyze images for urgent findings, such as pneumothorax or pleural effusion, and move them to the top of the worklist.

Key providers with FDA-cleared X-ray triage solutions include:

• AZmed: Offers the Rayvolve® AI Suite , featuring FDA-cleared tools for chest X-ray triage (AZchest) and trauma X-ray fracture detection (AZtrauma).
• Lunit: Provides LUNIT INSIGHT CXR Triage , designed to detect critical findings like pneumothorax and pleural effusion in chest X-rays with high accuracy.
• Qure.ai: Offers FDA-cleared AI for chest X-ray reporting, including tools for identifying lung nodules and triaging for pneumothorax and pleural effusion.
• RADLogics: Features FDA-cleared AI-powered chest X-ray solutions specifically for patient triage and management.
• GE Healthcare: Offers Critical Care Suite , embedded AI algorithms that flag suspected pneumothorax on X-rays.
• Aidoc: Provides FDA-cleared AI triage platforms (aiOS™) for various imaging studies to assist in workflow efficiency.

Impact on Radiology Workflow

• Faster Turnaround Time (TAT): AI triage reduces the time from acquisition to diagnosis.
• Reduced Fatigue: By identifying normal studies and elevating urgent ones, AI helps manage workload and reduce burnout.
• High Accuracy: These systems are trained to act as a second reader to improve diagnostic confidence.

For managing high-volume trauma and chest X-rays, AZmed's Rayvolve has been shown to support radiologists in 2,500+ healthcare centers. For comprehensive, multi-indication needs, Aidoc and Qure.ai offer robust, FDA-cleared suites.

To provide the most relevant recommendation, what specific pathologies (e.g., chest nodules, fractures) are you looking to triage , and what PACS system does your facility currently use?