Philipp Breitfeld

Papers

Total Citations

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About

Philipp Breitfeld’s research lies at the intersection of medical robotics, haptic feedback, and advanced sensing for needle-based interventions. His work focuses on enhancing the safety and precision of procedures like epidural anesthesia, where accurate needle placement is critical. In his most-cited paper (14 citations), Breitfeld pioneered the use of complex OCT data and convolutional neural networks to detect tissue ruptures during needle insertion—a breakthrough that transforms subtle tissue deformations into navigational cues for physicians. This approach addresses a key challenge in ultrasound-guided interventions, where alignment difficulties can compromise outcomes. His second major contribution (8 citations) introduces proximity-based haptic feedback for collaborative robotic needle insertion, offering real-time tactile guidance to operators. By integrating robotic assistance with intuitive haptic cues, Breitfeld’s work reduces the risk of serious complications such as nerve injury or dural puncture. His research demonstrates how machine learning and robotics can augment human skill in high-stakes medical tasks, paving the way for safer, more reliable minimally invasive procedures.