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Regulations for the development of deep technology applications in healthcare urgently needed to prevent abuse of vulnerable patients

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  • Contributors The authors both contributed to the concepts in this editorial following a panel discussion at the NUS domain expert presentation on Fairness, Accountability and Transparency in Artificial Intelligence.

  • Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests DVG reports advisory to university-affiliated technology developers/start-ups in Singapore, as well as the Collaborative Ocular Tuberculosis Study (COTS) group. COTS is an international initiative to use big data to better understand the elusive ocular tuberculosis (TB), an early opportunity to address asymptomatic carriage of TB infection.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Collaborators Emmanuel Maroye.