Large language model (LLM)-driven chatbots for neuro-ophthalmic … – Nature.com
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Eye (2023)
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The subspecialty of neuro-ophthalmology is currently facing a human resource issue globally, with few entering the subspecialty. This has led to access problems for neuro-ophthalmic care worldwide. While the primary goal of ophthalmology is to save a patient’s vision, a good neuro-ophthalmic diagnosis can potentially save lives. Neuro-ophthalmology is a unique subspecialty of ophthalmology that involves going beyond the eye, relying heavily on principles of general medicine but also the skill and expertise of a neuro-ophthalmologist. While becoming a neuro-ophthalmologist can be considered a long and arduous journey, we believe that stronger neuro-ophthalmic expertise can benefit a variety of clinicians, from ophthalmologists to neurosurgeons. In this paper, we examine how GPT-4 can potentially benefit neuro-ophthalmic education.
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Waisberg E, Ong J, Masalkhi M, Zaman N, Sarker P, Lee AG, et al. GPT-4: a new era of artificial intelligence in medicine. Ir J Med Sci. 2023. https://doi.org/10.1007/s11845-023-03377-8.
Lee P, Bubeck S, Petro J. Benefits, limits, and risks of GPT-4 as an AI Chatbot for medicine. N Engl J Med. 2023;388:1233–9. https://doi.org/10.1056/NEJMsr2214184.
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Bubeck S, Chandrasekaran V, Eldan R, Gehrke J, Horvitz E, Kamar E, et al. Sparks of artificial general intelligence: early experiments with GPT-4. 2023. https://doi.org/10.48550/arXiv.2303.12712.
Alser M, Waisberg E. Concerns with the usage of ChatGPT in Academia and Medicine: a viewpoint. Am J Med Open. 2023:100036. https://doi.org/10.1016/j.ajmo.2023.100036.
Waisberg E, Micieli JA. Neuro-Ophthalmological Optic Nerve Cupping: An Overview. Eye Brain. 2021;13:255–68. https://doi.org/10.2147/EB.S272343.
Yu CW, Waisberg E, Kwok JM, Micieli JA. Anemia and Idiopathic Intracranial Hypertension: a systematic review and meta-analysis. J Neuro Ophthalmol. 2022;42:e78–86. https://doi.org/10.1097/WNO.0000000000001408.
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Waisberg E, Ong J, Masalkhi M, Zaman N, Kamran SA, Sarker P, et al. Text-to-image artificial intelligence to aid clinicians in perceiving unique neuro-ophthalmic visual phenomena. Ir J Med Sci. 2023. https://doi.org/10.1007/s11845-023-03315-8.
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Department of Ophthalmology, University of Cambridge, Cambridge, UK
Ethan Waisberg & Mouayad Masalkhi
Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
Joshua Ong
Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
Andrew G. Lee
Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, TX, USA
Andrew G. Lee
The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA
Andrew G. Lee
Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, NY, USA
Andrew G. Lee
Department of Ophthalmology, University of Texas Medical Branch, Galveston, TX, USA
Andrew G. Lee
University of Texas MD Anderson Cancer Center, Houston, TX, USA
Andrew G. Lee
Texas A&M College of Medicine, Bryan, TX, USA
Andrew G. Lee
Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, IA, USA
Andrew G. Lee
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EW: writing, figure development. JO: writing, figure development. MM: writing. and AGL: review, intellectual support.
Correspondence to Ethan Waisberg.
The authors declare no competing interests.
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Waisberg, E., Ong, J., Masalkhi, M. et al. Large language model (LLM)-driven chatbots for neuro-ophthalmic medical education. Eye (2023). https://doi.org/10.1038/s41433-023-02759-7
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DOI: https://doi.org/10.1038/s41433-023-02759-7
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