Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study

This observer study investigates the effect of computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in assessing bladder cancer treatment response. The performance of 17 observers was evaluated when assessing bladder cancer treatment res...

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Detalles Bibliográficos
Autores principales: Sun, Di, Hadjiiski, Lubomir, Alva, Ajjai, Zakharia, Yousef, Joshi, Monika, Chan, Heang-Ping, Garje, Rohan, Pomerantz, Lauren, Elhag, Dean, Cohan, Richard H., Caoili, Elaine M., Kerr, Wesley T., Cha, Kenny H., Kirova-Nedyalkova, Galina, Davenport, Matthew S., Shankar, Prasad R., Francis, Isaac R., Shampain, Kimberly, Meyer, Nathaniel, Barkmeier, Daniel, Woolen, Sean, Palmbos, Phillip L., Weizer, Alon Z., Samala, Ravi K., Zhou, Chuan, Matuszak, Martha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938803/
https://www.ncbi.nlm.nih.gov/pubmed/35314631
http://dx.doi.org/10.3390/tomography8020054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938803/
https://www.ncbi.nlm.nih.gov/pubmed/35314631
http://dx.doi.org/10.3390/tomography8020054

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