Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning

Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and drawbacks in AI development and implementation. Vario...

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Detalles Bibliográficos
Autores principales: Hong, Gil-Sun, Jang, Miso, Kyung, Sunggu, Cho, Kyungjin, Jeong, Jiheon, Lee, Grace Yoojin, Shin, Keewon, Kim, Ki Duk, Ryu, Seung Min, Seo, Joon Beom, Lee, Sang Min, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613849/
https://www.ncbi.nlm.nih.gov/pubmed/37724586
http://dx.doi.org/10.3348/kjr.2023.0393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613849/
https://www.ncbi.nlm.nih.gov/pubmed/37724586
http://dx.doi.org/10.3348/kjr.2023.0393

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