Temporal Inversion for Learning Interval Change in Chest X-Rays
Recent advances in vision--language pretraining have enabled strong medical foundation models, yet most analyze radiographs in isolation, overlooking the key clinical task of comparing prior and current images to assess interval change. For chest radiographs (CXRs), capturing interval change is essential, as radiologists must evaluate not only the static appearance of findings but also how they evolve over time. We introduce TILA (Temporal Inversion-aware Learning and Alignment), a simple yet ef
Record details
Published: 6 April 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare
Retrieved: 14 July 2026
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ethics.ai (6 April 2026), “Temporal Inversion for Learning Interval Change in Chest X-Rays,” evidence record 6321, https://ethics.ai/record/6321 (originally published by arXiv).
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