Ikonopedia has partnered with ScreenPoint Medical to integrate Transpara Breast, ScreenPoint's breast cancer detection AI, directly into its workspace. This alliance underlines the importance of Transpara, which combines clinical rigor with agility in operational practice. Ikonopedia's medical network - which includes prestigious centers on American soil such as Mount Sinai Staten Island, the Marshfield Clinic, with 8 imaging centers and 3 mobile units, and Skagit Radiology - can now rely on this AI. It has been trained on a vast dataset comprising one million images and 15,000 cancer cases from various mammography models and medical centers. The algorithm's results are not merely theoretical, as they are verified by biopsies. To date, this artificial intelligence has analyzed over 5 million mammograms in more than 30 countries, in collaboration with radiologists, for ever more accurate diagnoses.
"While AI is attracting considerable attention, it is delivering truly measurable value in healthcare," confides Emily Crane, CEO of Ikonopedia. The latter is transforming the way radiologists track and interpret examinations. The intuitive cloud platform documents every step of the patient journey, from appointment booking to post-examination follow-up, ensuring full traceability of any anomalies detected. Designed by radiologists, for radiologists, Ikonopedia's solution replaces fixed, manual medical reports with intelligent, interactive reports that comply with the most stringent American standards. Artificial intelligence is playing an increasingly important role in this field, offering cutting-edge analysis and diagnosis. This partnership is no exception, providing healthcare professionals with acute analysis of mammography images.
Around 2 million women worldwide are diagnosed with breast cancer every year. By promoting early detection of breast cancer, thanks to players like ScreenPoint, it's easier for healthcare professionals to provide the right treatment, as early as possible.
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