egeozsoy/ORacle

Official code of the paper ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling accepted at MICCAI 2024.

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Experimental

This project helps medical professionals and researchers understand the complex, dynamic environment of operating rooms (ORs). It processes surgical videos and related information to identify equipment, personnel, and actions, then outputs a structured, holistic model of the OR. Surgical data scientists, hospital operations managers, and medical educators can use this to analyze and improve surgical workflows.

No commits in the last 6 months.

Use this if you need to analyze video feeds from operating rooms to understand the intricate relationships between surgical tools, staff, and procedures, even in unfamiliar surgical setups.

Not ideal if your primary need is general object recognition in non-medical video or if you require real-time, on-device inference for immediate surgical assistance without prior knowledge integration.

surgical-data-science operating-room-analytics medical-image-analysis surgical-workflow-understanding hospital-operations
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

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Last pushed

Jan 06, 2025

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