GPT-Image-2 Case · Multimodal Medical AI Method Figure

来自 GPT-Image2-Skill README 的精选展示条目，适合作为“研究论文图示 / 多模态医疗 AI 方法图”方向的站内参考案例。

Create a Nature Biomedical Engineering / NeurIPS medical-AI method figure, landscape 3:2 (1536×1024), soft literature-science colors and minimal academic layout.

Figure title: "Multimodal foundation model for clinical decision support".

Layout: a left-to-right method pipeline with three horizontal bands and panel labels A–C.
A. Inputs on the left: small clean icons and labeled cards "Radiology image", "Pathology tile", "EHR sequence", "Lab values", "Genomics". Use subtle rounded rectangles.
B. Middle architecture: five modality encoders feeding into a central pale-teal block "Shared clinical representation"; include small modules "contrastive alignment", "missing-modality mask", "temporal attention". Add thin arrows and skip connections.
C. Outputs on the right: three task heads "diagnosis", "risk score", "treatment response" with small calibrated probability bars. Add a lower inset "external validation" showing two hospital icons and an arrow labeled "site transfer".

Style requirements: soft Nature/Science palette (muted teal, dusty blue, sage green, warm sand, coral accents), white background, precise vector-like arrows, modest shadows only, readable labels, lots of whitespace, no futuristic HUD, no clinical gore, no real hospital logos, no watermark.

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