Wellbeing Software is partnering with US based AI company Imbio to integrate its algorithms into the AI Connect platform.
It means the two companies will work together to deliver a simple way for healthcare providers to use AI to support the diagnosis of patients with chronic lung and thoracic conditions.
The algorithms quickly analyse a patient’s lung density and texture, and it includes using advanced computer vision to transform a standard chest CT into a detailed map of lung textures in order to identify cases of interstitial lung disease (ILD) and other fibrotic conditions.
David Hannes, COO, Imbio, said “More than one billion imaging studies are requested in the US and EU alone every year. But this explosion hasn’t come with the tools clinicians need to see and interpret all of the information in each patient’s images.”
“With big data analysis and computer vision, our algorithms are able to turn standard medical images into rich visual maps of a patient’s condition and reports that provide detailed data on the type and extent of abnormalities found in the patient images. This enables clinicians to see hidden information in the images and drive data-based, personalised patient care decisions from diagnosis, to therapy tracking, to planning for procedures.”
The US company also has a range of additional algorithms currently at research stage, as well as partnerships with a number of leading clinics and universities, including the University of Michigan, Oregon Health & Science University and the Mayo Clinic in Rochester, Minnesota.
Graham Ridgway, CEO, Wellbeing Software “We’re committed to giving NHS organisations the best choice when it comes to the adoption of AI and are pleased to welcome Imbio and its pioneering algorithms to the AI Connect Programme and our newly launched AI Market Place, which highlights the different applications of AI we are making available.”
“Algorithms, such as those created by Imbio, have the ability to drastically improve clinical workloads and patient care, but this only becomes a reality when the technology is matched with existing workflows and practices. By enabling this we hope to make the roll-out of AI as simple as possible.”
