DeepHealth is also announcing upcoming updates to SmartMammo™, a comprehensive suite of advanced tools designed to optimize breast cancer screening and diagnosis for more efficient workflows, which will support 2D mammograms, further improving local workflow integration. DeepHealth’s 3D solution is compatible with leading OEMs and integrates seamlessly with radiologist worklists and reporting tools. It features clinical AI detection capabilities that automatically localize lesions and assess suspicion levels across diverse populations and dense breast tissue, enabling a 21% increase in cancer detection rate.[2] The updates will incorporate already CE-marked 2D technology to assist in the primary read and fulfill the second reader role in mammography double reading workflows.[1]
State-of-the-art clinical AI solutions for lung, prostate, and brain health
DeepHealth will also showcase its latest clinical results and feature updates to its broader population health portfolio. DeepHealth’s clinical AI solutions include comprehensive, end-to-end AI-powered solutions for clinical diagnostics and high-volume screening in lung, breast, and prostate health, along with AI-driven innovations for brain health. DeepHealth’s solutions are powering screening programs for breast cancer in the US and lung cancer in Europe.
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DeepHealth’s AI-powered Lung solution[3] is used to assist radiologists in the NHS England’s Lung Cancer Screening Program, one of the world’s largest lung cancer screening initiatives. Within this program, 76% of detected cancers were caught at earlier, more treatable stages, compared to only 29% historically (without AI).[4] The solution provides AI-powered nodule detection, reporting, and patient management for enhanced efficiency and accuracy in lung cancer diagnosis by automatically detecting and segmenting lung nodules, enabling radiologists to interpret lung CT scans more confidently and, according to a recent study, up to 42% faster.[5]
In prostate cancer, DeepHealth’s AI-powered Prostate solution[6] supports high-volume population health screening programs, diagnostic interpretation, and biopsy planning enabled by automated prostate segmentation, standardized reporting, and integration with most fusion biopsy systems. The solution has been shown to enable a 97% diagnostic sensitivity, up from 92% for radiologists without AI support[7] and recent analyses revealed a 37% reduction in workflow time for MRI read.[8]
