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Clinical Ophthalmology Volume 18, 2024 - Issue
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LETTER

The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis [Letter]

Elanda Fikri1 Department of Environmental Health, Poltekkes Kemenkes Bandung, Bandung, Indonesia;2 Center of Excellence on Utilization of Local Material for Health Improvement, Bandung Health Polytechnic, Bandung, IndonesiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7196-6011
ORCID Icon
Pages 127-128 | Received 29 Dec 2023, Accepted 09 Jan 2024, Published online: 11 Jan 2024

References

  • Raghu K, S T, S devishamani C, et al. The utility of ChatGPT in diabetic retinopathy risk assessment: a comparative study with clinical diagnosis. Clin Ophthalmol. 2023;17:4021–4031. doi:10.2147/OPTH.S435052
  • Xiang D, Cai W, Zhang L. Privacy protection and secondary use of health data: strategies and methods. Biomed Res Int. 2021;2021:6967166. doi:10.1155/2021/6967166
  • Farhud DD, Zokaei S. Ethical issues of artificial intelligence in medicine and healthcare. Iran J Public Health. 2021;50(11):i–v.
  • Kluge EW. Artificial intelligence in healthcare: ethical considerations. Healthc Manage Forum. 2020;33(1):47–49. doi:10.1177/0840470419850438

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