Extended Data Fig. 1: Envision the use case of EyeFM as a whole workflow copilot for eyecare under different clinical settings. | Nature Medicine

Extended Data Fig. 1: Envision the use case of EyeFM as a whole workflow copilot for eyecare under different clinical settings.

From: An eyecare foundation model for clinical assistance: a randomized controlled trial

Extended Data Fig. 1

For patients attending ocular disease screening in the primary care centre where only low-cost examination technics are available, EyeFM can use its single modality and cross-modality ability to assist disease detection, followed with screening report writing assisted by its vision-question answering ability. Then, some patients will be referred to specialty care settings for further examination, where EyeFM can use its integrated modality disease detection or even zero-shot ability to facilitate further diagnosis. The image-report writing ability and vision-question answering can also assist to improve the efficiency of clinical report and patient letter drafting in specialty care settings.

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