MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: The need for better AI models fuels the demand for larger and larger high-quality datasets with significant diversity. Over the years, many medical imaging datasets have been published globally, but existing datasets do not contain enough samples from the population of the Indian subcontinent, leading to subpar performance of developed AI models when deployed in India. The Medical Imaging and Information Datasets (MIDAS) India initiative was launched to address this by developing standards, protocols, and policies for gathering medical imaging data nationwide.

Authors

  • Dibyajyoti Maity
    Indian Institute of Science, Bengaluru, India.
  • Rohit Satish
    ARTPARK at IISc, Bengaluru, India.
  • Raghu Dharmaraju
    ARTPARK at IISc, Bengaluru, India.
  • Vijay Chandru
    Faculty National Centre for Biological Sciences, Centre for Brain Research, Bengaluru, India.
  • Rajesh Sundaresan
    Indian Institute of Science, Bengaluru, India.
  • Harpreet Singh
    Division of Biomedical Informatics, Indian Council of Medical Research, New Delhi, India.
  • Debnath Pal
    Indian Institute of Science, Bengaluru, India. dpal@iisc.ac.in.