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    How AI Is Changing Medical Simulation Training

    Sensor-rich simulators and automated feedback are helping physicians master high-risk procedures before they reach the patient.

    britelab · Jul 20, 2026 · 5 min read

    Physician trainee practicing central line insertion on a simulator

    Procedures like central venous catheterization carry real risk, and traditional training depends on scarce expert time. britelab and clinical partners have built simulators that let residents practice repeatedly and receive objective feedback.

    From practice to feedback

    Our Dynamic Haptic Robotic Trainer and related systems combine haptics, sensing, and computer vision to measure needle technique and give immediate, personalized feedback — without an instructor at the bedside.

    Scaled impact

    These systems have been used to train more than 1,000 physicians across Penn State Health, Cedars-Sinai, and West Virginia University, and our studies connect simulator performance to skill transfer.

    What's next

    We are extending automated feedback to endoscopy and laparoscopic training, using gaze and motion data to predict proficiency and personalize practice.

    Related project

    Central Line Simulation

    See related work in our publications or meet the research team.

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