Aidoc

Paid

Aidoc is a clinical AI platform that flags urgent findings in medical imaging. It works in radiology departments to prioritize critical cases before a radiologist opens the scan. The tool sits on top of existing hospital systems and sends real-time alerts to care teams.

Aidoc is built for healthcare. It runs FDA-cleared algorithms for conditions like stroke, brain bleed, pulmonary embolism, and aortic disease. The core product is aiOS, an enterprise platform that ties into PACS, EHR systems, and imaging workflows.

You do not use this tool in a browser tab. It lives inside hospital IT infrastructure and runs 24/7 on incoming scans. Radiology teams see alerts in their normal workflow. No separate login or new software to learn.

The tool does not read images for you. It surfaces what needs attention first. A radiologist still interprets every scan. Think of it as a smart filter on top of a crowded worklist.

Open Aidoc if you run radiology operations at a large hospital or health system. Skip it if you need AI that replaces clinical judgment or works outside enterprise IT.

It fits where imaging volume is high and speed matters.

• Health system executives conducting due diligence: You get compiled peer-reviewed studies to review before procurement. You see where vendor claims meet real-world performance gaps.
• Radiology leaders assessing evidence bases before deployment: You find specific sensitivity and specificity numbers for your patient mix. You learn which scanner types and bleed stages trip the algorithm.
• Radiology departments needing worklist prioritization: You keep your existing PACS. You add a layer that floats urgent cases to the top of the list.
• Large health systems wanting one vendor across triage use cases: You avoid managing five separate point solutions. You get 31 FDA clearances through one integration and one contract.
• Organizations needing EHR-integrated workflow: You receive alerts inside systems your staff already use. You skip the standalone dashboard that sits open in another tab.
• Hospitals already using Aidoc's triage products: You can extend to new modules without rebuilding your integration. You keep your trained workflow and add new detection types.
• Emergency departments with high acute imaging volume: You cut the time between scan and specialist alert. You coordinate stroke or trauma response faster.
• Regional hospitals and imaging centers: You flag critical findings without adding overnight radiology coverage. You route urgent cases to on-call specialists automatically.

These are the parts that stick after you have run it live.

• Broad FDA-cleared indication set: You get 31 clearances covering stroke, hemorrhage, PE, spine fracture, and more. You do not wait for new modules to clear one by one.
• Real-time critical finding detection: You see the alert before you open the scan. You treat the aneurysm or bleed case first while it still matters.
• Care coordination tracking: You push notifications to the right specialist automatically. You track the patient through treatment instead of losing them in handoffs.
• Single orchestration platform: You manage one vendor relationship and one integration. You add new AI modules without starting IT from zero.

Skip it when the fit is wrong or the evidence is thin for your use case.

• No statistically significant improvement in accuracy: Radiologists using Aidoc in prospective controlled studies read scans just as well without it. You buy workflow speed, not diagnostic help.
• Weak sensitivity on small and chronic bleeds: You miss 25% of subacute bleeds and 45% of chronic ones. You still need careful human review for every head CT.
• High false negative rate for large vessel occlusions: You miss 22% of strokes that need immediate intervention. You cannot trust the negative result.
• Added false positives without sensitivity gains: Specificity drops in some cohorts when the AI is on. You get more alarms, not better detection.
• No public pricing: You must request enterprise quotes and negotiate per site. You cannot budget without a sales cycle.
• Multi-month implementation timeline: You need IT resources and PACS integration work. It is not a quick add-on.