Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration

This study introduces the slit lamp-GPT model for report generation and subsequent QA, highlighting the potential of large language models to assist ophthalmologists and patients.

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Institutions

Publication Details

Journal
Journal of Medical Internet Research
Published
2024-12-30
DOI
https://doi.org/10.2196/54047
Citations
11
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
3.82
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article

Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration

Mingguang He, Danli Shi, James Gunasegaram, Wenyong Huang et al.
11 citations
Journal of Medical Internet Research
Topic Modeling
3.82
article

Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration

Mingguang He, Danli Shi, James Gunasegaram, Wenyong Huang, Xiaolan Chen, Na Liu, Fan Song, Ziwei Zhao, Weiyi Zhang
article en
11 citations

Abstract

This study introduces the slit lamp-GPT model for report generation and subsequent QA, highlighting the potential of large language models to assist ophthalmologists and patients.

Journal of Medical Internet ResearchVol. 26
Hong Kong Polytechnic University (HK), Sun Yat-sen University (CN), Monash University (AU)
Quality Education
Openalex Percentile: Top 6%
Topic Modeling
3.82
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Slit Lamp Report Generation and Question Answering: Development and Validation of a Multimodal Transformer Model with Large Language Model Integration — Mingguang He, Danli Shi, et al. · Journal of Medical Internet Research (2024) | TGRS Research Map | TGRS