Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kunal Nagpal"'
Autor:
Qiyuan Hu, Abbas A. Rizvi, Geoffery Schau, Kshitij Ingale, Yoni Muller, Rachel Baits, Sebastian Pretzer, Aïcha BenTaieb, Abigail Gordhamer, Roberto Nussenzveig, Adam Cole, Matthew O. Leavitt, Ryan D. Jones, Rohan P. Joshi, Nike Beaubier, Martin C. Stumpe, Kunal Nagpal
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Microsatellite instability-high (MSI-H) is a tumor-agnostic biomarker for immune checkpoint inhibitor therapy. However, MSI status is not routinely tested in prostate cancer, in part due to low prevalence and assay cost. As such, prediction
Externí odkaz:
https://doaj.org/article/7805a2768fad474dabc5522838e58ff9
Autor:
Ronnachai Jaroensri, Ellery Wulczyn, Narayan Hegde, Trissia Brown, Isabelle Flament-Auvigne, Fraser Tan, Yuannan Cai, Kunal Nagpal, Emad A. Rakha, David J. Dabbs, Niels Olson, James H. Wren, Elaine E. Thompson, Erik Seetao, Carrie Robinson, Melissa Miao, Fabien Beckers, Greg S. Corrado, Lily H. Peng, Craig H. Mermel, Yun Liu, David F. Steiner, Po-Hsuan Cameron Chen
Publikováno v:
npj Breast Cancer, Vol 8, Iss 1, Pp 1-12 (2022)
Abstract Histologic grading of breast cancer involves review and scoring of three well-established morphologic features: mitotic count, nuclear pleomorphism, and tubule formation. Taken together, these features form the basis of the Nottingham Gradin
Externí odkaz:
https://doaj.org/article/e87e4501ec7945b0aef836b8987fc7e1
Autor:
Ayush Jain, David Way, Vishakha Gupta, Yi Gao, Guilherme de Oliveira Marinho, Jay Hartford, Rory Sayres, Kimberly Kanada, Clara Eng, Kunal Nagpal, Karen B DeSalvo, Greg S Corrado, Lily Peng, Dale R Webster, R Carter Dunn, David Coz, Susan J Huang, Yun Liu, Peggy Bui, Yuan Liu
BACKGROUND Many dermatologic cases are first evaluated by primary care physicians or nurse practitioners. OBJECTIVE This study aimed to evaluate an artificial intelligence (AI)-based tool that assists with interpreting dermatologic conditions. METHOD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::221fcd5126390b581510701bd678ad6d
https://doi.org/10.2196/preprints.36885
https://doi.org/10.2196/preprints.36885
Autor:
Lily Peng, Yuannan Cai, Peter Regitnig, Robert Reihs, Farah Nader, Markus Plass, Heimo Müller, Matthew Symonds, Craig H. Mermel, Kurt Zatloukal, Melissa Moran, Trissia Brown, Andreas Holzinger, Martin C. Stumpe, Greg S. Corrado, Po-Hsuan Cameron Chen, Ellery Wulczyn, Kunal Nagpal, Mahul B. Amin, Isabelle Flament-Auvigne, Fraser Tan, David F. Steiner, Yun Liu
Publikováno v:
Communications Medicine. 1
Gleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par wit
Autor:
Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Shiro Kadowaki, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Greg S. Corrado, Jason D. Hipp, Craig H. Mermel, Martin C. Stumpe
Publikováno v:
Nature Medicine. 25:1453-1457
The brightfield microscope is instrumental in the visual examination of both biological and physical samples at sub-millimeter scales. One key clinical application has been in cancer histopathology, where the microscopic assessment of the tissue samp
Autor:
Andrew Evans, Martin C. Stumpe, Greg S. Corrado, Robert C. MacDonald, Po-Hsuan, Davis Foote, Jenny L. Smith, Mahul B. Amin, Chen, Fraser Tan, Ellery Wulczyn, Jason D. Hipp, Lily Peng, Kunal Nagpal, Craig H. Mermel, Yun Liu, Arash Mohtashamian, James H. Wren, Ankur R. Sangoi, Niels Olson
Publikováno v:
npj Digital Medicine, Vol 2, Iss 1, Pp 1-10 (2019)
Diagnostic Pathology
NPJ Digital Medicine
Diagnostic Pathology
NPJ Digital Medicine
For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective microscopic examination of tumor morphology a
Autor:
Vishakha Gupta, Rory Sayres, Ayush Jain, David H. Way, Lily Peng, Yun Liu, Karen DeSalvo, Jay David Hartford, Yuan Liu, Peggy Bui, Clara H. Eng, Greg S. Corrado, Carter Dunn, Dale R. Webster, David Coz, Guilherme de Oliveira Marinho, Yi Gao, Susan Jen Huang, Kunal Nagpal, Kimberly Kanada
Publikováno v:
JAMA Netw Open
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs). OBJECTIVE: To evaluate an artificial intelligence (AI)–based tool that assists with diagnoses of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f15f4d01a80bdb2ad88ec9daa2f4c6eb
https://europepmc.org/articles/PMC8082316/
https://europepmc.org/articles/PMC8082316/
Autor:
Ayush Jain, David Way, Vishakha Gupta, Yi Gao, Guilherme de Oliveira Marinho, Jay Hartford, Rory Sayres, Kimberly Kanada, Clara Eng, Kunal Nagpal, Karen B DeSalvo, Greg S Corrado, Lily Peng, Dale R Webster, R Carter Dunn, David Coz, Susan J Huang, Yun Liu, Peggy Bui, Yuan Liu
Publikováno v:
Iproceedings. 8:e36885
Background Many dermatologic cases are first evaluated by primary care physicians or nurse practitioners. Objective This study aimed to evaluate an artificial intelligence (AI)-based tool that assists with interpreting dermatologic conditions. Method
Autor:
Yun Liu, Martin C. Stumpe, Greg S. Corrado, Arash Mohtashamian, Mahul B. Amin, Jenny L. Smith, Robert C. MacDonald, Po-Hsuan Cameron Chen, Davis Foote, Ellery Wulczyn, Kunal Nagpal, James H. Wren, Ankur R. Sangoi, Niels Olson, Andrew Evans, Jason Hipp, Craig H. Mermel, Lily Peng, Fraser Tan
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-1 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-1 (2019)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 2, Iss 1, Pp 1-2 (2019)
npj Digital Medicine, Vol 2, Iss 1, Pp 1-2 (2019)