P. Karaiskos
Papers
3
Total Citations
142
H-Index
3
About
Panagiotis Karaiskos is a leading medical physicist whose research focuses on the precision dosimetry of small radiation fields and the application of artificial intelligence in surgical robotics. His foundational work on the CyberKnife robotic radiosurgery system has been instrumental in advancing the accuracy of stereotactic treatments. Specifically, his 2012 study (64 citations) experimentally determined crucial correction factors for microchamber and diode detectors in small fields formed by the iris collimator, directly addressing a critical challenge in output factor measurement. Earlier, his 2010 paper (61 citations) pioneered the implementation of a novel dosimetric formalism for nonstandard fields, establishing a rigorous framework for both reference dosimetry and small-field output factor measurement in robotic radiosurgery. More recently, Karaiskos has expanded into AI-driven surgical analysis, developing a deep learning framework based on transformer networks and self-supervised learning for video-based surgical gesture recognition (2022, 17 citations). This work demonstrates his versatility in bridging traditional medical physics with cutting-edge computational methods. His contributions have significantly enhanced the safety and efficacy of modern radiosurgery and surgical training.
Research Focus
Key Achievements
Top Papers
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