AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach

Tim Tianyi Yang, Tom Tianze Yang, Na An, Ao Kong, Shaoshan Liu +1 more
6/17/2023
cs.AIcs.CY

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Abstract

This paper introduces Artificial Intelligence Clinics on Mobile (AICOM), an open-source project devoted to answering the United Nations Sustainable Development Goal 3 (SDG3) on health, which represents a universal recognition that health is fundamental to human capital and social and economic development. The core motivation for the AICOM project is the fact that over 80% of the people in the least developed countries (LDCs) own a mobile phone, even though less than 40% of these people have internet access. Hence, through enabling AI-based disease diagnostics and screening capability on affordable mobile phones without connectivity will be a critical first step to addressing healthcare access problems. The technologies developed in the AICOM project achieve exactly this goal, and we have demonstrated the effectiveness of AICOM on monkeypox screening tasks. We plan to continue expanding and open-sourcing the AICOM platform, aiming for it to evolve into an universal AI doctor for the Underserved and Hard-to-Reach.

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Cite this paper

@article{yang2023clinics,
  title  = {AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach},
  author = {Tim Tianyi Yang and Tom Tianze Yang and Na An and Ao Kong and Shaoshan Liu and Steve Xue Liu},
  year   = {2023},
  eprint = {2306.10324},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.10324v1}
}

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