Selected article for: "artificial intelligence and public health"

Author: Shih, Kendrick Co; Chan, Jonathan Cheuk‐Hung; Chen, Julie Yun; Lai, Jimmy Shiu‐Ming
Title: Ophthalmic clinical skills teaching in the time of COVID‐19: A crisis and opportunity
  • Cord-id: ulzzo2p5
  • Document date: 2020_5_23
  • ID: ulzzo2p5
    Snippet: Despite advances in artificial intelligence-based diagnostics, ophthalmic clinical skills remain an important acquisition during medical school. Simple ophthalmic examination techniques allow future non-ophthalmic physicians to make timely referrals to ophthalmologists for sight-threatening disease. Currently, the coronavirus disease 2019 (COVID-19) pandemic poses a serious public health crisis worldwide and an immediate challenge to traditional methods of medical education.
    Document: Despite advances in artificial intelligence-based diagnostics, ophthalmic clinical skills remain an important acquisition during medical school. Simple ophthalmic examination techniques allow future non-ophthalmic physicians to make timely referrals to ophthalmologists for sight-threatening disease. Currently, the coronavirus disease 2019 (COVID-19) pandemic poses a serious public health crisis worldwide and an immediate challenge to traditional methods of medical education.

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