Papers
19
Total Citations
322
H-Index
9
About
Jan Deprest is a distinguished researcher whose work spans gynecological surgery, fetal medicine, and surgical robotics, with particular expertise in minimally invasive interventions for complex conditions including pelvic organ prolapse, endometriosis, and twin-twin transfusion syndrome (TTTS). His contributions have meaningfully advanced the evidence base for robot-assisted and laparoscopic surgical techniques, exemplified by his widely cited 2016 systematic review comparing robotic and laparoscopic sacrocolpopexy (65 citations), which helped clarify the clinical value of robotic platforms in pelvic floor surgery. Deprest has been a driving force in developing intelligent surgical systems for fetoscopic procedures, pioneering continuum robots, autonomous endoscope control, and deep learning-based placental mapping to improve the safety and precision of fetal interventions for TTTS. His 2017 work on continuum robot design for fetoscopy (60 citations) and subsequent research into haptic feedback, all-optical ultrasound sensing, and collaborative robotics reflect a sustained commitment to bridging engineering innovation with clinical need. His explorations of haptic guidance and bimanual teleoperation have also pushed boundaries in delicate procedures like endometriosis surgery. With over 290 combined citations across his key publications, Deprest's interdisciplinary research continues to shape the future of robotic-assisted gynecological and fetal surgery.
Research Focus
Key Achievements
Top Papers
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- 3Robotic Endoscope Control Via Autonomous Instrument Tracking49 citations · 2022
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- 7Macro-Micro Multi-Arm Robot for Single-Port Access Surgery13 citations · 2019
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