Annalise.ai develops AI-driven diagnostic tools for medical imaging, specifically targeting chest X-rays and non-contrast head CT scans to enhance the detection of critical findings. By providing rapid, accurate analysis, their technology enables clinicians to prioritize time-sensitive cases, ultimately improving patient outcomes and operational efficiency in healthcare settings.
Funding
Funding not disclosed
Founders
Product
Problem
Radiologists face increasing workloads and time constraints, which can lead to overlooked critical findings in medical images such as chest X-rays and head CT scans. This can result in delayed diagnoses and potentially adverse patient outcomes, especially in emergency and trauma care settings where timely intervention is crucial.
Solution
Annalise.ai provides AI-powered decision-support tools that analyze chest X-rays and non-contrast head CT scans to enhance the detection of up to 130 critical findings in under two minutes. The solutions triage studies with time-sensitive findings, flagging them in the radiologist's worklist and alerting relevant care teams to enable faster diagnosis and treatment. By acting as a second pair of eyes, the technology improves diagnostic accuracy, reduces reporting times, and helps clinicians prioritize urgent cases, ultimately leading to better patient care and more efficient workflows.
Target Audience
The primary target audience includes radiologists, radiology departments, and healthcare providers in hospitals and imaging centers seeking to improve diagnostic accuracy, efficiency, and patient outcomes in critical care settings.
Features
- AI-driven detection of up to 124 findings on chest X-rays in under 20 seconds
- AI-driven detection of up to 130 findings on non-contrast head CT scans in under two minutes
- Worklist prioritization based on AI-detected critical findings
- Integration with existing radiology workflows and reporting systems
- In-built confidence bar to display the likelihood of each finding
- Algorithms trained by fully qualified radiologists using over 280 million annotations
- Reporting of technical factors to aid judgement and improve imaging quality
- Option to configure the solution to group findings according to priority level based on AI results