How far have we come? Artificial intelligence for chest radiograph interpretation.
Clin Radiol
; 74(5): 338-345, 2019 05.
Article
em En
| MEDLINE
| ID: mdl-30704666
Due to recent advances in artificial intelligence, there is renewed interest in automating interpretation of imaging tests. Chest radiographs are particularly interesting due to many factors: relatively inexpensive equipment, importance to public health, commonly performed throughout the world, and deceptively complex taking years to master. This article presents a brief introduction to artificial intelligence, reviews the progress to date in chest radiograph interpretation, and provides a snapshot of the available datasets and algorithms available to chest radiograph researchers. Finally, the limitations of artificial intelligence with respect to interpretation of imaging studies are discussed.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Radiografia Torácica
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Clin Radiol
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Estados Unidos