AI Clinics on Mobile (AICOM): Universal AI Doctors for the Underserved and Hard-to-Reach
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Abstract (arXiv)
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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References · 6
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2015Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Codingcited by 2,329
- 2022Large Language Models Encode Clinical Knowledgecited by 1,830
- 2017A Survey of Model Compression and Acceleration for Deep Neural Networkscited by 301
- 2022AICOM-MP: an AI-based Monkeypox Detector for Resource-Constrained Environmentscited by 3
- 2022Autonomous Mobile Clinics: Empowering Affordable Anywhere Anytime Healthcare Accesscited by 1
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