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
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, including
Computed Tomography, Magnetic Resonance Imaging, and Whole Slide Imaging scans.
Using the collected data, we are preparing/providing ready-to-use datasets for
medical AI R&D by 1) offering these datasets to AI firms, biopharma, and
medical device makers and 2) using them as training/test data to develop
tailored AI solutions for such entities. We also aim to merge Blockchain for
data security and plan to synthesize rare disease data via generative AI.
DataHub Website: https://medical-datahub.ai/