AI radiology
The proof of concept trial will include both Lunit's AI solutions for chest x-ray and mammography analyses.
The new tool measures the diameter of the ventricles of the heart to provide the ratio of the maximum right ventricle diameter compared with the left ventricle. That can help indicate pulmonary embolism severity.
It will be the first integration of Lunit's AI radiology software into an insurance underwriting workflow.
This follows last year's FDA approvals in the US.
The round comes nearly a year after the company announced a $66 million Series C.
The Rapid PE Triage & Notification tool analyzes CT pulmonary angiograms to find potential cases and alert care teams.
Their first project will involve the use of AI contouring to cut time for planning radiation therapies.
A study published in The Lancet found a deep learning model trained to detect a certain type of hip fractures outperformed radiologists, but further testing found potential barriers to safe use.
The startup said it expects its imaging analysis tool to receive FDA clearance in the coming months.
The software automatically flags cases of pneumothorax, or a collapsed lung, on X-rays for more efficient triage.