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From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.CV2026

SPIRIT: Spatio-temporal Pairwise Relational Modeling of Instrument-Tissue Interactions for Surgical Action Triplet Recognition

Saurav Sharma, Lorenzo Arboit, Nabani Banik +11

Fine-grained understanding of surgical activity is essential for context-aware assistance in the operating room, including safety monitoring, adverse event identification, and skil…

cs.CV2026

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

Vincent Ochs, Christoph Kuemmerli, Florentin Bieder +12

The paper introduces a fully automated deep learning system that combines 3D contrast‑enhanced CT scans with routine clinical variables to classify pancreatic cancer patients into…

q-bio.OT2026

Current validation practice undermines surgical AI development

Annika Reinke, Ziying O. Li, Minu D. Tizabi +97

Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…

cs.CV2025

Leveraging Generic Foundation Models for Multimodal Surgical Data Analysis

Simon Pezold, Jérôme A. Kurylec, Jan S. Liechti +2

We investigate how both the adaptation of a generic foundation model via transfer learning and the integration of complementary modalities from the operating room (OR) can support…

cs.CV2025

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Kun Yuan, Tingxuan Chen, Shi Li +9

The complexity and diversity of surgical workflows, driven by heterogeneous operating room settings, institutional protocols, and anatomical variability, present a significant chal…

cs.CV2025

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures

Kun Yuan, Vinkle Srivastav, Tong Yu +5

Recent advancements in surgical computer vision applications have been driven by vision-only models, which do not explicitly integrate the rich semantics of language into their des…