Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chhavi Chauhan"'
Publikováno v:
Learned Publishing. 36:37-41
Autor:
Lewis A. Hassell, Syeda Fatima Absar, Chhavi Chauhan, Suzanne Dintzis, Carol F. Farver, Samreen Fathima, Eric F. Glassy, Jeffery A. Goldstein, Rama Gullapalli, Jonhan Ho, Lisa K. Koch, James E. Madory, Kamran M. Mirza, Phuong Nhat Nguyen, Liron Pantanowitz, Anil Parwani, Rebecca Rojansky, Robert P. Seifert, Rajendra Singh, Ehab A. ElGabry, Marilyn Bui
Publikováno v:
Archives of Pathology & Laboratory Medicine. 147:474-491
Context.— Myriad forces are changing teaching and learning strategies throughout all stages and types of pathology education. Pathology educators and learners face the challenge of adapting to and adopting new methods and tools. The digital patholo
Autor:
Rama R. Gullapalli, Chhavi Chauhan
Publikováno v:
The American Journal of Pathology. 191:1673-1683
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM) paradigms, affecting many traditional fields of medicine, including pathology, which is a heavily data-centric specialty of medicine. The structured
This poster explores the current trends in imparting awards and recognition in the field of scholarly publishing and makes recommendations to embrace diversity for a more equitable publishing ecosystem. In a collaborative effort, the members of the S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d889d8a2d97770fa771d436087a86cb1
https://doi.org/10.14293/s2199-ssp-am22-0024
https://doi.org/10.14293/s2199-ssp-am22-0024
Publikováno v:
The American Journal of Pathology
Autor:
Lewis A, Hassell, Syeda Fatima, Absar, Chhavi, Chauhan, Suzanne, Dintzis, Carol F, Farver, Samreen, Fathima, Eric F, Glassy, Jeffery A, Goldstein, Rama, Gullapalli, Jonhan, Ho, Lisa K, Koch, James E, Madory, Kamran M, Mirza, Phuong Nhat, Nguyen, Liron, Pantanowitz, Anil, Parwani, Rebecca, Rojansky, Robert P, Seifert, Rajendra, Singh, Ehab A, ElGabry, Marilyn, Bui
Publikováno v:
Archives of pathologylaboratory medicine.
Myriad forces are changing teaching and learning strategies throughout all stages and types of pathology education. Pathology educators and learners face the challenge of adapting to and adopting new methods and tools. The digital pathology transform
Autor:
Chhavi, Chauhan, Rama R, Gullapalli
Publikováno v:
Am J Pathol
Deep learning has rapidly advanced artificial intelligence (AI) and algorithmic decision-making (ADM) paradigms, affecting many traditional fields of medicine, including pathology, which is a heavily data-centric specialty of medicine. The structured
Publikováno v:
The American Journal of Pathology
Autor:
Liron, Pantanowitz, Marilyn M, Bui, Chhavi, Chauhan, Ehab, ElGabry, Lewis, Hassell, Zaibo, Li, Anil V, Parwani, Mohamed E, Salama, Manu M, Sebastian, David, Tulman, Suryanarayana, Vepa, Michael J, Becich
Publikováno v:
Academic Pathology. 9:100026
Academic industry partnership (AIP) represents an important alliance between academic researchers and industry that helps translate technology and complete the innovation cycle within academic health systems. Despite diverging missions and skillsets
Publikováno v:
The Journal of Molecular Diagnostics. 20:1-3
This editorial provides insights and guidelines for publishing in The Journal of Molecular Diagnostics.