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Utilizing Grasp Monitoring to Predict Microsurgical Expertise.
[INTRODUCTION] Most microsurgical procedures require the surgeon to use tools to grasp and hold fragile objects in the surgical site. Prior research on grasping in surgery has mostly either been in other surgical techniques or used grasping…
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Hyperspectral Imaging in Brain Tumor Surgery-Evidence of Machine Learning-Based Performance.
[BACKGROUND] Hyperspectral imaging (HSI) has the potential to enhance surgical tissue detection and diagnostics. Definite utilization of intraoperative HSI guidance demands validated machine learning and public datasets that currently do no…
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Movement-level process modeling of microsurgical bimanual and unimanual tasks.
[PURPOSE] Microsurgical techniques require highly skilled manual handling of specialized surgical instruments. Surgical process models are central for objective evaluation of these skills, enabling data-driven solutions that can improve int…
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Ex Vivo Porcine Models Are Valid for Testing and Training Microsurgical Lumbar Decompression Techniques.
[BACKGROUND] Spinal surgeries are the leading causes for patient settlement issues. Recent European Medical Device Regulations aims to reduce complications by enforcing that surgical tools are validated before clinical use. Human cadavers a…
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Spectrally Tunable Neural Network-Assisted Segmentation of Microneurosurgical Anatomy.
[BACKGROUND] Distinct tissue types are differentiated based on the surgeon's knowledge and subjective visible information, typically assisted with white-light intraoperative imaging systems. Narrow-band imaging (NBI) assists in tissue ident…
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Combined Gaze Metrics as Stress-Sensitive Indicators of Microsurgical Proficiency.
Evaluation of microsurgical proficiency is conventionally subjective, time consuming, and unreliable. Eye movement-based metrics have been promising not only in detection of surgical expertise but also in identifying actual cognitive stress…