Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Animashree Anandkumar"'
Autor:
Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Cahill, Animashree Anandkumar, R. Michael Alvarez
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Online competitive action games are a very popular form of entertainment. While most are respectfully enjoyed by millions of players, a small group of players engages in disruptive behavior, such as cheating and hate speech. Identifying and subsequen
Externí odkaz:
https://doaj.org/article/d1709191008846309925158854a4cd90
Autor:
Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Maxwell Otiato, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Quoc-Dien Trinh, Animashree Anandkumar, Andrew J. Hung
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Artificial intelligence (AI) systems can now reliably assess surgeon skills through videos of intraoperative surgical activity. With such systems informing future high-stakes decisions such as whether to credential surgeons and grant them th
Externí odkaz:
https://doaj.org/article/013c36af22b643159993d9cf73a92ffd
Autor:
Dani Kiyasseh, Jasper Laca, Taseen F. Haque, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Animashree Anandkumar, Andrew J. Hung
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-12 (2023)
Kiyasseh et al. compare the quality of feedback provided to surgeons by artificial intelligence (AI) to that provided by human experts. Teaching an AI system to explicitly follow human explanations improves the reliability and reduces the bias of AI-
Externí odkaz:
https://doaj.org/article/4aa80c6a55dc4f4a92226d872babc063
Autor:
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina DeMeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract How well a surgery is performed impacts a patient’s outcomes; however, objective quantification of performance remains an unsolved challenge. Deconstructing a procedure into discrete instrument-tissue “gestures” is a emerging way to un
Externí odkaz:
https://doaj.org/article/f9d2d8beaf0b42d9a6d6bf6ae4289685
Autor:
Dhiraj J. Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Unadkat, David J. Cote, Ben Strickland, Martin Rutkowski, Andrew Hung, Animashree Anandkumar, X. Y. Han, Vardan Papyan, Bozena Wrobel, Gabriel Zada, Daniel A. Donoho
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will succe
Externí odkaz:
https://doaj.org/article/c964f61c59dd458fa1fe9545d78e34ea
Autor:
Dhiraj J, Pangal, Guillaume, Kugener, Tyler, Cardinal, Elizabeth, Lechtholz-Zey, Casey, Collet, Sasha, Lasky, Shivani, Sundaram, Yichao, Zhu, Arman, Roshannai, Justin, Chan, Aditya, Sinha, Andrew J, Hung, Animashree, Anandkumar, Gabriel, Zada, Daniel A, Donoho
Publikováno v:
Journal of Neurosurgery. 137:840-849
OBJECTIVE Experts can assess surgeon skill using surgical video, but a limited number of expert surgeons are available. Automated performance metrics (APMs) are a promising alternative but have not been created from operative videos in neurosurgery t
Autor:
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, Brian J. Miles, Christian Wagner, Daniel A. Donoho, Animashree Anandkumar, Andrew J. Hung
The intraoperative activity of a surgeon has substantial impact on postoperative outcomes. However, for most surgical procedures, the details of intraoperative surgical actions, which can vary widely, are not well understood. Here we report a machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a582cea4a4086ebdce60db98aa736b0
https://resolver.caltech.edu/CaltechAUTHORS:20230420-711199500.6
https://resolver.caltech.edu/CaltechAUTHORS:20230420-711199500.6
Autor:
Zhuoran Qiao, Anders S. Christensen, Matthew Welborn, Frederick R. Manby, Animashree Anandkumar, Thomas F. Miller III
Source data for the manuscript "Informing geometric deep learning with electronic interactions to accelerate quantum chemistry"; The SDC21 training dataset; Neural network code and evaluation examples. Version 2 note: The license is updated. Typos in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05caeb51a292befb8432ca2ec9fe1699
Autor:
Guillaume, Kugener, Dhiraj J, Pangal, Tyler, Cardinal, Casey, Collet, Elizabeth, Lechtholz-Zey, Sasha, Lasky, Shivani, Sundaram, Nicholas, Markarian, Yichao, Zhu, Arman, Roshannai, Aditya, Sinha, X Y, Han, Vardan, Papyan, Andrew, Hung, Animashree, Anandkumar, Bozena, Wrobel, Gabriel, Zada, Daniel A, Donoho
Importance. Surgical data scientists lack video data sets that depict adverse events, which may affect model generalizability and introduce bias. Hemorrhage may be particularly challenging for computer vision–based models because blood obscures the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4f1b78eabb51d895c7c44f8a85e9d6
https://resolver.caltech.edu/CaltechAUTHORS:20220329-772928599
https://resolver.caltech.edu/CaltechAUTHORS:20220329-772928599
Autor:
Dhiraj J. Pangal, Guillaume Kugener, Yichao Zhu, Aditya Sinha, Vyom Unadkat, David J. Cote, Arman Roshannai, Ben Strickland, Martin Rutkowski, Andrew Hung, Animashree Anandkumar, X. Y. Han, Vardan Papyan, Bozena Wrobel, Gabriel Zada, Daniel A. Donoho
Publikováno v:
31st Annual Meeting North American Skull Base Society.