Francis X. Creighton
Papers
14
Total Citations
172
H-Index
7
About
Francis X. Creighton is a pioneering surgeon-scientist at the intersection of otology, neurotology, and artificial intelligence. His research centers on developing automated, AI-driven tools to enhance the safety and precision of temporal bone and skull base surgery. Creighton’s major contributions include creating self-configuring deep learning networks for automated segmentation of temporal bone anatomy from cone-beam CT imaging—work that has garnered over 100 citations across his top papers. His 2021 study on automated registration-based segmentation (36 citations) and his 2022 state-of-the-art review on AI in rhinology (34 citations) are landmark works, demonstrating how machine learning can streamline preoperative planning and reduce operative time. Beyond imaging, Creighton has advanced robotic microsurgery, notably through a force-sensing surgical drill for real-time feedback in mastoidectomy and a cooperatively controlled ENT microsurgery robot for image-guided procedures. His recent haptic-assisted collaborative robot framework (2024) aims to improve situational awareness in skull base surgery. Creighton’s work is not only highly cited but also clinically transformative, bridging the gap between computational innovation and tangible improvements in surgical outcomes.
Research Focus
Key Achievements
Top Papers
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