Jennifer Adeghate

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About

Dr. Jennifer Adeghate is a pioneering researcher in ophthalmic robotics and computer-assisted surgery, with a focused expertise in retinal microsurgery. Her most-cited work, "Monocular Vision-Based Retinal Membrane Peeling With a Handheld Robot" (2021, 12 citations), addresses one of the most demanding challenges in vitreoretinal surgery: the delicate peeling of membranes from the retina. Dr. Adeghate's major contribution lies in developing a monocular vision-guided handheld robotic system that actively compensates for the surgeon's physiological tremor—a critical barrier to precision. By integrating real-time visual feedback with robotic control, her system reduces unintended movements and excessive forces, which are common causes of tissue trauma in procedures where image quality is often poor. This work represents a significant step toward making complex retinal surgeries safer and more accessible, particularly in settings with limited imaging resources. Dr. Adeghate's research directly bridges the gap between human dexterity and robotic precision, offering a tangible solution to enhance surgical outcomes. Her innovative approach has established her as a rising leader in the field of surgical robotics, with implications for broader applications in microsurgery.