Imbio has gained FDA 510(k) clearance for its RV/LV AnalysisTM algorithm, a leading supplier of artificial intelligence (AI) solutions for medical imaging evaluation. The RV/LV Analysis algorithm is a quick and easy way to check for right ventricular dilation. The tool efficiently and precisely evaluates the heart's ventricles to calculate the proportion of the right to left ventricle's maximum diameter. The RV/LV Analysis results are readily accessible for clinicians without any extra work, including a detailed report of quantitative findings directly attached to the patient imaging study in minutes. David Hannes, Imbio Chief Executive Officer, stated that their automated RV/LV Assessment has the control to supply factual information and notify risk stratification in many acute cases. Imbio is proud to offer this AI-driven algorithm to physicians and partners to support acute cases and facilitate critical treatment decisions for patients.

Connected healthcare specialist Wellbeing Software has announced a partnership with US-based artificial intelligence (AI) provider Imbio to provide a way for NHS organisations to use AI to support the diagnosis of patients with chronic lung and thoracic conditions. Algorithms developed by Imbio enable clinicians to analyse a patient's lung density and texture. This 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. Graham Ridgway, CEO at Wellbeing Software, said: "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.