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Annalise.ai is one of the largest radiology AI companies in the world. We focus on the development of comprehensive medical imaging solutions created by clinicians, for clinicians, providing assurance and support when it’s needed most.
Our high-quality product development process is founded on robust algorithm performance evaluation and gold standard validation. Annalise CXR is the world’s first comprehensive chest X-ray (CXR) solution detecting 124 findings, which is up to ten times more findings when compared to other AI solutions currently available.
The Annalise CXR model was trained on over 520,000 CXR studies, comprising over 820,000 individual CXR images. It is the most comprehensive AI-driven CXR clinical interpretation support tool on the market.
Intended to assist clinicians with the interpretation of radiological imaging studies, the solution is CE marked for use as a medical device in the EU, and available for clinical use in Australia and New Zealand (ARTG no. 343577).
Annalise CXR is trained and validated on datasets labelled by a group of 148 radiologists. Through an intensive process, the group confirmed that each label met standardised definitions set by globally recognised thoracic specialist radiologists.
The accelerated growth in medical imaging has raised expectations on radiologists and healthcare providers, to diagnose patients accurately and at speed. To relieve this pressure while creating meaningful change takes a pioneering blend of clinical thinking and technological capabilities.
This is the vision of Annalise.ai.
Working at the intersection of human empathy and artificial intelligence, we fuse the highest quality imaging data with cutting edge computer science.
The result? A world-first CXR AI with the most comprehensive analysis available.As a joint venture between healthcare technology company Harrison.ai, and one of the world’s largest radiology companies, I–MED Radiology Network, the partnership extends the capability of imaging analysis AI to deliver a more extensive set of findings.
Proudly clinician–led, our patient–first approach comes from a deep understanding of the challenges faced in medical imaging. Now with AI, we are providing clinicians with another set of eyes that allows them to detect and protect with confidence and drive better health outcomes for patients from all walks of life