All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing

Changhee Han; Kyohei Shibano; Wataru Ozaki; Keishiro Osaki; Takafumi Haraguchi; Daisuke Hirahara; Shumon Kimura; Yasuyuki Kobayashi; Gento Mogi

doi:10.1117/12.3006843

2 April 2024 All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing

Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki, Takafumi Haraguchi, Daisuke Hirahara, Shumon Kimura, Yasuyuki Kobayashi, Gento Mogi

Author Affiliations +

Proceedings Volume 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications; 129311E (2024) https://doi.org/10.1117/12.3006843
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Deep Learning is advancing medical imaging Research and Development (R&D), leading to the frequent clinical use of Artificial Intelligence/Machine Learning (AI/ML)-based medical devices. However, to advance AI R&D, two challenges arise: 1) significant data imbalance, with most data from Europe/America and under 10% from Asia, despite its 60% global population share; and 2) hefty time and investment needed to curate proprietary datasets for commercial use. In response, we established the first commercial medical imaging platform, encompassing steps like: 1) data collection, 2) data selection, 3) annotation, and 4) pre-processing. Moreover, we focus on harnessing under-represented data from Japan and broader Asia. We are preparing/providing ready-to-use datasets for medical AI R&D by 1) offering these datasets to companies and 2) using them as additional training data to develop tailored AI solutions. We also aim to merge Blockchain for data security and plan to synthesize rare disease data via generative AI.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Changhee Han, Kyohei Shibano, Wataru Ozaki, Keishiro Osaki, Takafumi Haraguchi, Daisuke Hirahara, Shumon Kimura, Yasuyuki Kobayashi, and Gento Mogi "All-in-one platform for AI R&D in medical imaging, encompassing data collection, selection, annotation, and pre-processing", Proc. SPIE 12931, Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and Applications, 129311E (2 April 2024); https://doi.org/10.1117/12.3006843

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