Publications by authors named "Animashree Anandkumar"

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A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons.
Dani Kiyasseh, Jasper Laca, Taseen F Haque, Brian J Miles, Christian Wagner, Daniel A Donoho, Animashree Anandkumar, Andrew J Hung

Commun Med (Lond)· March 2023

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A vision transformer for decoding surgeon activity from surgical videos.
Dani Kiyasseh, Runzhuo Ma, Taseen F Haque, Brian J Miles, Christian Wagner, Animashree Anandkumar

Nat Biomed Eng· June 2023

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Human visual explanations mitigate bias in AI-based assessment of surgeon skills.
Dani Kiyasseh, Jasper Laca, Taseen F Haque, Maxwell Otiato, Brian J Miles, Animashree Anandkumar

NPJ Digit Med· March 2023

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Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Animashree Anandkumar

NPJ Digit Med· December 2022

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Use of surgical video-based automated performance metrics to predict blood loss and success of simulated vascular injury control in neurosurgery: a pilot study.
Dhiraj J Pangal, Guillaume Kugener, Tyler Cardinal, Elizabeth Lechtholz-Zey, Casey Collet, Animashree Anandkumar

J Neurosurg· September 2022

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Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.
Nicholas Markarian, Guillaume Kugener, Dhiraj J Pangal, Vyom Unadkat, Aditya Sinha, Animashree Anandkumar

Oper Neurosurg· September 2022

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Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video.
Guillaume Kugener, Yichao Zhu, Dhiraj J Pangal, Aditya Sinha, Nicholas Markarian, Animashree Anandkumar

Neurosurgery· June 2022

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Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.
Dhiraj J Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Unadkat, Animashree Anandkumar

Sci Rep· May 2022

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Utility of the Simulated Outcomes Following Carotid Artery Laceration Video Data Set for Machine Learning Applications.
Guillaume Kugener, Dhiraj J Pangal, Tyler Cardinal, Casey Collet, Elizabeth Lechtholz-Zey, Animashree Anandkumar

JAMA Netw Open· March 2022

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Deep Learning to Automate Technical Skills Assessment in Robotic Surgery.
Andrew J Hung, Yan Liu, Animashree Anandkumar

JAMA Surg· November 2021

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OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy.
Anders S Christensen, Sai Krishna Sirumalla, Zhuoran Qiao, Michael B O'Connor, Daniel G A Smith, Animashree Anandkumar

J Chem Phys· November 2021

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Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery.
Francisco Luongo, Ryan Hakim, Jessica H Nguyen, Animashree Anandkumar, Andrew J Hung

Surgery· May 2021

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OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features.
Zhuoran Qiao, Matthew Welborn, Animashree Anandkumar, Frederick R Manby, Thomas F Miller

J Chem Phys· September 2020

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