PiCME shows contrastive learning peaks at three modalities in MIMIC, and a Modality-Gated LSTM with contrastively learned weights improves five-modality mortality prediction over supervised baselines.
A visual–language foundation model for pathology image analysis using medical twitter,
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PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset
PiCME shows contrastive learning peaks at three modalities in MIMIC, and a Modality-Gated LSTM with contrastively learned weights improves five-modality mortality prediction over supervised baselines.