ChatGPT Assisting Diagnosis of Neuro-Ophthalmology Diseases Based on Case Reports.

Background: To evaluate the accuracy of Chat Generative Pre-Trained Transformer (ChatGPT), a large language model (LLM), to assist in diagnosing neuro-ophthalmic diseases based on case reports.

Methods: We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database. These cases included a wide range of chronic and acute diseases commonly seen by neuro-ophthalmic subspecialists.

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports.

Purpose: To evaluate the efficiency of large language models (LLMs) including ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on case reports.

Design: Prospective study.

Subjects Or Participants: We selected 22 different case reports of neuro-ophthalmic diseases from a publicly available online database.

Double-hit and triple-hit high-grade B-cell lymphoma of the ocular adnexa.

High-grade B-cell lymphoma (HGBL) with and and/or rearrangements, also known as a double-hit and triple-hit lymphoma, is an aggressive non-Hodgkin lymphoma affecting older adults. After formal recognition of this entity in the 2017 revision of the World Health Organization Classification of lymphoid neoplasms, only two well-documented cases of triple-hit lymphoma of the orbit appear in the literature. Herein, we describe a 70-year-old man with progressive diplopia, ophthalmoplegia, and rapidly enlarging temporal mass.