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[2021 Edison Awards] III's "AI-based Mammogram Lesions Detection" System Integrated into EBM's Entry Won a Bronze in 2021 Edison Awards
Organization: Department of Industrial Technology        Publish Date: 2021-05-31 16:00
Open new window for DOIT Director General Chiou Chyou-Huey, EBM Technologies General Manager Wayne Ting and III DTI Director General Harriot Lin at the press conference.(jpg)
In 2021 Edison Awards, EBM's entry, 'Ubiquitous Diagnostic Environment (UDE) App', won a Bronze in the Visual Insights & Conversion Tools category. This entry has been integrated with the AI medical assisted technology, "AI-based Mammogram Lesions Detection" system, which is developed by the Institute for Information Industry (III) team.

The UDE App is an iOS-based medical imaging display solution, converting any standard iPad Pro into a standalone DICOM server, viewer, display, and AI - all in one. The application works with PACS, medical imaging modalities, or any DICOM compatible software, allowing exam images to be directly transmitted to an iPad via DICOM communication for offline display and storage. While away from a traditional medical workstation, a user can simply deploy the UDE App on a pair of iPad Pros with a laptop and leverage its viewer function, creating a compact mobile workstation. The advancement of this versatile application facilitates communication of clinical information and overcomes traditional workstation barriers for the optimal outcome.

One of the AI technologies in the UDE App is the "AI-based Mammogram Lesions Detection" system developed by the III's team, which is the achievement of executing the "Advanced Artificial Intelligence Technologies and Industry Applications Project", subsidized by the Department of Industry Technology (DoIT) of the Ministry of Economic Affairs (MOEA) of the Republic of China. Based on the deep learning model, this system analyzes multi-view mammograms to detect mass and calcifications. The advantages of the deep learning model are ignoring feature selections, achieving the better performance, and reducing false alarm in lesion detection. Moreover, the system implements risk ranking for identifying suspicious positive cases, aids radiologists to speed up the follow-up procedure, and improves the breast cancer screening process. The incidents demonstrate that the period of report receiving reduces from 2 months to 10 days.
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Open new window for In 2021 Edison Awards, EBM's entry, 'UDE App', won a Bronze in the Visual Insights & Conversion Tools category.(jpg)
Open new window for III's "AI-based Mammogram Lesions Detection" System Integrated into EBM's Entry Won a Bronze in 2021 Edison Awards(jpg)
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