Login / Signup

ICGA-GPT: report generation and question answering for indocyanine green angiography images.

Xiaolan ChenWeiyi ZhangZiwei ZhaoPusheng XuYing-Feng ZhengDanli ShiMingguang He
Published in: The British journal of ophthalmology (2024)
This pioneering study introduces the ICGA-GPT model for report generation and interactive QA for the first time, underscoring the potential of LLMs in assisting with automated ICGA image interpretation.
Keyphrases
  • deep learning
  • optical coherence tomography
  • computed tomography
  • machine learning
  • convolutional neural network
  • high throughput
  • risk assessment
  • human health