Cargando…
Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test
BACKGROUND: Accurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. Recent advancements in artificial intelligence (AI) have aided diagnoses; however, their performance is often limited du...
Autores principales: | Myong, Youho, Yoon, Dan, Kim, Byeong Soo, Kim, Young Gyun, Sim, Yongsik, Lee, Suji, Yoon, Jiyoung, Cho, Minwoo, Kim, Sungwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10096231/ https://www.ncbi.nlm.nih.gov/pubmed/37043456 http://dx.doi.org/10.1371/journal.pone.0279349 |
Ejemplares similares
-
Development and validation of a portable articulated dynamometry system to assess knee extensor muscle strength
por: Myong, Youho, et al.
Publicado: (2023) -
Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm
por: Choi, Ye Ra, et al.
Publicado: (2023) -
The Turing Teacher: Identifying core attributes for AI learning in K-12
por: Pelaez, Alexander, et al.
Publicado: (2022) -
SG-SAFE.R: Contactless Chest Radiography
por: Tan, Weiling, et al.
Publicado: (2022) -
The role of serum procalcitonin in the differential diagnosis of pneumonia from pulmonary edema among the patients with pulmonary infiltrates on chest radiography
por: Yoon, Young Kyung, et al.
Publicado: (2018)