Annalise.ai


Developer of medical imaging artificial intelligence for clinical triage and workflow optimization. Offers an integrated imaging-AI solution that analyzes chest radiographs and non-contrast head CT to identify time-sensitive and incidental findings, integrates with clinical imaging systems, and has received regulatory clearances and deployments across multiple countries.

Industries

N/A

Nr. of Employees

small (1-50)


Patents

Systems and methods for automated analysis of medical images

US-11646119-B2

View Details

Products

Comprehensive imaging AI triage for chest radiograph and head CT

Imaging-AI solution that analyzes chest radiographs and non-contrast head CT to identify a set of time-sensitive and incidental findings and present prioritized results within the clinical imaging workflow.


Services

Provision of radiology-specific foundational AI models for research use.

Deployment services to integrate imaging-AI outputs into existing PACS/RIS workflows and configurations for clinical use.

Expertise Areas

  • Medical imaging AI
  • Clinical triage and radiology workflow automation
  • Clinical validation and performance evaluation for imaging algorithms
  • Regulatory clearance and health-technology designation for imaging software
  • Show More (4)

Key Technologies

  • Deep learning for medical imaging
  • Multi-view and multi-modal imaging inference (CXR and CT)
  • Worklist prioritization and triage algorithms
  • Low-latency inference engines
  • Show More (3)

News & Updates

Company reports $240 million in funding from global investors.

Reported Breakthrough Device designation from the U.S. regulatory authority for a specified imaging use case.

Reported New Technology Add-on Payment (NTAP) reimbursement eligibility for obstructive hydrocephalus and related Medicare payment references.

Company reports clinical clearance for use in 40+ countries for its imaging solutions.

Reported deployment figures include 3,500 clinicians at over 1,000 sites across four continents; regional adoption metrics cited include >35% of chest radiographs processed in a national health service, 100% of public Accident & Emergency departments in a regional system using the solution, >50% of radiologists in another national system having access, and 130+ hospitals across 45+ NHS Trusts.

Announcement of public availability of radiology-specific foundational models for research access.


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