Bringing AI to chest X-ray diagnosis with Harrison.ai

Today, we announced our partnership with Harrison.ai to offer an AI-powered solution in Spain that supports healthcare professionals in the interpretation of chest X-rays. Through this collaboration, we are expanding our AI portfolio for the healthcare sector, providing healthcare providers with technology that helps speed up diagnosis and improve patient care.

The solution features an AI algorithm capable of automatically identifying up to 124 clinical findings in chest X-rays, including lung nodules that can support lung cancer screening, as well as other clinically significant conditions. The model has been trained on more than 780,000 chest X-rays, independently labelled by at least three qualified radiologists to ensure high-quality results.

It also holds CE Class IIb medical device certification (CE marking), providing the highest level of assurance for its use as a diagnostic support tool for conditions that may pose a risk to patients' lives.

Display of the algorithm’s results on a chest X-ray in the solution viewer (the data is simulated)

AI supports healthcare professionals rather than replacing their clinical judgement, as responsibility for diagnosis and treatment always remains with the physician. The analysis results can be viewed through a web-based viewer, enabling Emergency Departments and Primary Care services to obtain an initial assessment of the chest X-ray, while allowing radiologists to prioritise examinations according to their level of clinical urgency and optimise reporting times.

The solution integrates seamlessly with existing healthcare systems and infrastructures through our professional data and AI services, which tailor the technology to the specific requirements of each healthcare provider. We also provide managed maintenance and support services to ensure continuous operation.

Through this partnership, we continue to expand the services we offer our customers while advancing our ambition to become the leading gateway to digital technologies, bringing AI solutions that help improve the efficiency of clinical workflows and the quality of patient care.