Turning surgical video into measurable, evidence-grounded assessments of operative quality.
Status
Ongoing research
Field
Surgical Intelligence
Location
Melbourne · Beijing
Documentary reference image · U.S. Navy / Chris Thamann · public domain
01 / The challenge
Expert assessment is essential—and difficult to scale.
Assessing surgical performance often requires experienced surgeons to manually review operative recordings.
This process can be time-consuming, subjective and difficult to scale. We are investigating how computer vision and machine learning can support more systematic assessments of surgical quality.
02 / Our research
Clinical expertise, translated into visual evidence.
Our initial work focuses on video-based assessment of surgical procedures for gastric cancer, combining clinical expertise with AI research.
Our approach brings together
Clinically informed assessment
Surgical video understanding
Machine learning and representation learning
Rigorous model evaluation
Illustrative regionFrame 0184
Illustrative analysis overlay—not research data or a product interface. Base image by Desiderius / Wikimedia Commons, public domain.
03 / Potential applications
From better evidence to better support.
These are intended directions for research and product development, not currently deployed clinical capabilities.
01
Surgical Education
Supporting structured feedback and assessment for surgical training.
02
Quality Review
Enabling more scalable analysis of operative performance.
03
Future Surgical Assistance
Exploring intelligent visual systems that could eventually support surgeons in real time.
Research to application
A deliberate progression.
Recorded evidence is the starting point. Each future step depends on careful validation, reliable evaluation and clinical collaboration.
01Operative videoEvidence
02Visual understandingCurrent research
03Structured assessmentProduct direction
04Visual assistanceLong-term vision
Conceptual research pathway. It does not represent an available clinical product, validated performance or regulatory approval.
04 / Research status
Ongoing, collaborative research.
Conducted through an independent collaboration with a clinical surgical team at Beijing Friendship Hospital.
The hospital is named to describe the clinical research collaboration; this does not imply corporate sponsorship or commercial partnership.
