Company and Stock Identity
How Harrison.ai Radiology Connects to the Public Market
- Company structure
- Private company and renamed product business
- Market access
- No direct public shares are available.
- Research focus
- Verify which models, markets, and regulatory authorizations sit behind the new brand, and do not assume an Annalise-era product claim automatically applies to every Harrison.ai release.
Harrison.ai unified the Annalise.ai radiology business under the Harrison.ai name in October 2025. The existing directory URL is retained so prior links do not break.
Open the public company market data feed for the full directory, ownership relationships, stock identifiers, and dated snapshots.
First-Hand Company News
Latest Developments
Harrison.ai releases Harrison.rad.1.5 for radiology report drafting
The company announced a model designed to draft radiology reports from images, prior exams, and clinical context.
Why it matters: Drafting the report changes more of the clinical workflow than flagging one finding. It could save radiologists time, but the signed report still needs accuracy, review, and clear responsibility. A board-exam result is interesting; prospective clinical performance is the stronger receipt.
Careers and Qualifications
What to Know Before Applying
Work areas: Radiology AI research, engineering, clinical science, regulatory affairs, product, and international deployment.
Qualification signal: Radiology, medical imaging, clinical validation, or software medical-device experience is the useful bridge. Board certification matters for clinical posts, not for every technical role.
Check current roles at Harrison.ai Radiology. A careers page is the source of record for openings. This profile does not claim a role is open unless the company lists it now.
Related Healthcare AI Roles
- Imaging Informatics Specialist
- Clinical Validation Specialist
- Regulatory Affairs Specialist, Software as a Medical Device
Training to Compare
- Data Science Institute imaging AI programs ... American College of Radiology, ongoing programs
- Imaging AI Certificate Program ... Radiological Society of North America, six modules per certificate
- Deep Learning for Healthcare Image Analysis workshop ... NVIDIA Deep Learning Institute, 8 hours
Buyer Snapshot
- Best-fit buyer
- Radiology leadership, pathology leadership, clinical informatics, imaging IT, patient safety, and procurement
- Primary use case
- Triage studies, flag findings, support image interpretation, and coordinate time-sensitive care
- Typical deployment
- Usually integrated with PACS, RIS, worklists, or digital pathology systems and monitored inside the clinical workflow
Evidence questions
- Was the tool tested prospectively and independently on comparable equipment and patients?
- What are sensitivity, specificity, false positive workload, and time-to-action effects?
- How does performance vary by site, scanner, demographic subgroup, and disease prevalence?
Regulatory and workflow questions
- Which FDA authorization covers the exact product version, modality, and intended use?
- Who retains final clinical responsibility and how is disagreement with the AI handled?
- What post-deployment monitoring and material update notification does the vendor provide?
Data and contract questions
- Where are images and derived data processed and retained?
- Which PACS, RIS, pathology, and EHR integrations are supported in production?
- Can data be used for model improvement, and what controls govern secondary use?
Evidence and Regulation
FDA Clearances on Record
Harrison.ai Radiology appears on 8 cleared products in the federal 510(k) record, across 2 device types.
- AI Triage and Notification Software for Radiology ... 4 cleared products
- AI Lesion Prioritization Software for Radiology ... 4 cleared products
A clearance means the FDA agreed the product is close enough to something already on the market to be sold for that use. It is not a finding that the product helps patients, and it is not a ranking against anything else on this page. A company is linked to an FDA clearance only when the 510(k) applicant name on the government record is confirmed by hand to be that same company, including former corporate names. Name similarity alone is never enough, and rejected matches are listed below with the reason.
What the Published Research Says About This Work
Independent studies on the work itself help separate category evidence from one company's claims.
- AI Stroke Triage ... 24 studies
- AI in Breast Cancer Screening ... 24 studies
- AI in Digital Pathology ... 24 studies