no code implementations • 5 Dec 2021 • Yangming Li, Neeraja Konuthula, Ian M. Humphreys, Kris Moe, Blake Hannaford, Randall Bly
Purpose: This paper presents a scheme for generating virtual intraoperative CT scans in order to improve surgical completeness in Endoscopic Sinus Surgeries (ESS).
no code implementations • 5 Dec 2021 • Yangming Li, Randall Bly, Sarah Akkina, Rajeev C. Saxena, Ian Humphreys, Mark Whipple, Kris Moe, Blake Hannaford
Different with classical surgical skill assessment algorithms, the proposed method 1) utilizes the kinematic features in surgical instrument relative movements, instead of using specific surgical tasks or the statistics to assess skills in real-time; 2) provide informative feedback, instead of a summative scores; 3) has the ability to incrementally learn from new data, instead of depending on a fixed dataset.
no code implementations • 16 Sep 2019 • Justin Chan, Sharat Raju, Randall Bly, Jonathan A. Perkins, Shyamnath Gollakota
To address this problem, we developed a convolutional neural network (CNN) to automatically classify images of vascular anomalies and other pediatric skin conditions to aid physicians with diagnosis.
no code implementations • 27 Aug 2018 • Blake Hannaford, Randall Bly, Ian Humphreys, Mark Whipple
Discussion and Conclusion: Behavior Trees thus form a useful, and human authorable/readable bridge between clinical practice guidelines and AI systems.