Active Project · Area 02

    Endoscopy Simulation

    Enhancing physicians' colonoscopy training for early cancer prevention

    Funded by NIH NIDDK ($1.7M grant)

    Problem / Research Question

    Can a sensor-embedded training system help physicians find more polyps and perform colonoscopies more safely?

    Why It Matters

    More than 19 million colonoscopies are performed in the U.S. each year and up to 28% of polyps are missed. When colorectal cancer is caught early, 90% of patients live five or more years.

    What britelab Is Doing

    A novel colonoscopy training system that integrates automated personalized learning with a manikin embedded with sensors to help make the routine procedure safer, more accurate and cost-efficient. The system utilizes a real endoscope with force feedback, enabling trainees hands-on experience with the very same device they will use clinically. Over 19 million colonoscopies are performed in the U.S. each year, and up to 28% of polyps are missed during screening — this project aims to close that gap.

    • Develop sensor-embedded manikin with automated performance feedback
    • Improve physicians' ability to identify and locate polyps
    • Provide force feedback to trainees to prevent colon wall perforation
    • Deploy and evaluate the training system at Penn State College of Medicine

    Methods & Technology

    Sensor-embedded colon manikinReal clinical endoscope with force feedbackAutomated, personalized learning and performance feedbackEvaluation with trainees at Penn State College of Medicine

    Research Team

    Funding Agency

    NIH NIDDK ($1.7M grant)

    Collaborators

    • Eric Pauli

      Penn State College of Medicine

    • Randy Haluck

      Penn State College of Medicine

    Outcomes / Impact

    Early detection from preventative screening through colonoscopies can drastically improve outcomes for colorectal cancer. When caught at an early stage, 90% of adults diagnosed with colorectal cancer live for five or more years. This training system aims to significantly improve polyp detection rates.

    Related Publications

    All lab publications →

    Related News

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