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About

Alissa Jell is an emerging researcher at the intersection of surgical robotics, artificial intelligence, and next-generation medical technology. Her work focuses primarily on automating and augmenting the operating room environment, with particular emphasis on robotic scrub nurse systems, intraoperative machine learning, and digital surgical infrastructure. Jell's most influential contribution explores the potential of 5G mobile communications as a foundational technology for Surgery 4.0, a paper that has garnered 29 citations and helped frame the conversation around ultra-low-latency connectivity in clinical settings. Her subsequent research has pushed deeper into surgical automation: she has pioneered work on robotic scrub nurses capable of anticipating instrument needs through real-time laparoscopic video analysis (13 citations), developed deep learning systems for intraoperative instrument cleaning stations, and investigated novel instrument handover techniques — collectively addressing the growing global shortage of qualified surgical assistants. Beyond robotics, Jell has contributed to evaluating alternative laparoscopic cholecystectomy approaches and robotic endoscope control systems, demonstrating a broad command of minimally invasive surgical technology. Her research is practically oriented, consistently targeting real workflow challenges in the modern operating room, and positions her as a promising voice in the rapidly evolving field of surgical digitalization and autonomous assistance.