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Clinical Ophthalmology Volume 18, 2024 - Issue
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RESPONSE TO LETTER

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

Keerthana Raghu1 Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India
,
Tamilselvi S2 Centre for Health Care Advancement, Innovation, and Research Department, Vellore Institute of Technology, Chennai, Tamil Nadu, India
,
Chitralekha S Devishamani1 Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India
,
Suchetha M2 Centre for Health Care Advancement, Innovation, and Research Department, Vellore Institute of Technology, Chennai, Tamil Nadu, India
,
Ramachandran Rajalakshmi3 Department of Diabetology, Ophthalmology and Epidemiology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu, IndiaORCID Iconhttps://orcid.org/0000-0002-7063-6026
ORCID Icon &
Rajiv Raman1 Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, IndiaCorrespondence[email protected]
Pages 313-314 | Received 24 Jan 2024, Accepted 24 Jan 2024, Published online: 02 Feb 2024

References

  • Nori H, King N, McKinney SM, Carignan D, Horvitz E. Capabilities of gpt-4 on medical challenge problems. arXiv. 2023. doi:10.48550/arXiv.2303.13375
  • Betzler BK, Chen H, Cheng CY, et al. Large language models and their impact in ophthalmology. Lancet Digital Health. 2023;5(12):e917–24. doi:10.1016/S2589-7500(23)00201-7

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