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Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Ocular myasthenia gravis (OMG) is one of the most common neuromuscular junction disorders, primarily affecting the extraocular muscles and causing symptoms such as ptosis and diplopia. If not adequately controlled, patients with OMG can progress to generalized myasthenia gravis (GMG), impacting respiratory muscles and limb function, and posing significant health risks [8,9]. Effective management of patients with OMG relies on accurate diagnosis, patient education, and continuous medical support.

Bin Wei, Lili Yao, Xin Hu, Yuxiang Hu, Jie Rao, Yu Ji, Zhuoer Dong, Yichong Duan, Xiaorong Wu

J Med Internet Res 2025;27:e67883

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome

The following prompt was obtained from Chat GPT: Create an illustrative depiction of a patient displaying Horner's syndrome, emphasizing the key clinical features, such as ptosis (drooping of the upper eyelid), miosis (constricted pupil), and anhidrosis (lack of sweating) on one side of the face. Ensure the image is clear and medically accurate, aiding in the understanding of this neurological condition.

Ajay Kumar, Pierce Burr, Tim Michael Young

JMIR Med Educ 2024;10:e52155

A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study

A Digital Telehealth System to Compute Myasthenia Gravis Core Examination Metrics: Exploratory Cohort Study

This software was used for the assessment of ptosis and eye position, as well as for the test of counting to 50 and the single-breath test in order to document lip reading and tracking of jaw motion (Table 1). Overall, both libraries provided robust results and could be used to annotate the video in real time for the ROIs.

Marc Garbey, Guillaume Joerger, Quentin Lesport, Helen Girma, Sienna McNett, Mohammad Abu-Rub, Henry Kaminski

JMIR Neurotech 2023;2:e43387