Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Richard Socher"'
Autor:
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy DeVries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew Lungren, Serena Yeung, Ashley E. Ross, NRG Prostate Cancer AI Consortium, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract Prostate cancer is the most frequent cancer in men and a leading cause of cancer death. Determining a patient’s optimal therapy is a challenge, where oncologists must select a therapy with the highest likelihood of success and the lowest l
Externí odkaz:
https://doaj.org/article/54fe1e7fc7644b949b66c889805f2d44
Autor:
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy DeVries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew Lungren, Serena Yeung, Ashley E. Ross, NRG Prostate Cancer AI Consortium, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/7d8e50289fd743a593f6ff3df5d018ef
Autor:
Douwe van der Wal, Iny Jhun, Israa Laklouk, Jeff Nirschl, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander, Felix Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
Abstract Biology has become a prime area for the deployment of deep learning and artificial intelligence (AI), enabled largely by the massive data sets that the field can generate. Key to most AI tasks is the availability of a sufficiently large, lab
Externí odkaz:
https://doaj.org/article/d6164252a0d94935879eacf682d4bdaf
Autor:
Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir Radev, Richard Socher
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines. Throughout 2020,
Externí odkaz:
https://doaj.org/article/b821725462d6408ea729067c04e6893f
Autor:
Alexander R. Fabbri, Wojciech Kryściński, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir Radev
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 391-409 (2021)
AbstractThe scarcity of comprehensive up-to-date studies on evaluation metrics for text summarization and the lack of consensus regarding evaluation protocols continue to inhibit progress. We address the existing shortcomings of summarization evaluat
Externí odkaz:
https://doaj.org/article/3a815d182a8440e1ac02f25f1d9da002
Autor:
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, Richard Socher
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in
Externí odkaz:
https://doaj.org/article/6f80c76bdd254d5f86373d47c51e01fc
Autor:
Nikhil Naik, Ali Madani, Andre Esteva, Nitish Shirish Keskar, Michael F. Press, Daniel Ruderman, David B. Agus, Richard Socher
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Determination of estrogen receptor status (ERS) in breast cancer tissue requires immunohistochemistry, which is sensitive to the vagaries of sample processing and the subjectivity of pathologists. Here the authors present a deep learning model that d
Externí odkaz:
https://doaj.org/article/169f3fde02b44f04a44160ad8fb94419
Autor:
Ali Madani, Ben Krause, Eric R. Greene, Subu Subramanian, Benjamin P. Mohr, James M. Holton, Jose Luis Olmos, Caiming Xiong, Zachary Z. Sun, Richard Socher, James S. Fraser, Nikhil Naik
Publikováno v:
Nature Biotechnology.
Publikováno v:
Science advances. 8(18)
Artificial intelligence (AI) and reinforcement learning (RL) have improved many areas but are not yet widely adopted in economic policy design, mechanism design, or economics at large. The AI Economist is a two-level, deep RL framework for policy des
Autor:
Eric J. Topol, Jeffrey Dean, Richard Socher, Nikhil Naik, Yun Liu, Serena Yeung, Ali Madani, Andre Esteva, Katherine Chou, Ali Mottaghi
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
NPJ Digital Medicine
NPJ Digital Medicine
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the deve