Artificial intelligence in detection of small bowel lesions and their bleeding risk: A new step forward.
World J Gastroenterol
; 30(18): 2482-2484, 2024 May 14.
Article
em En
| MEDLINE
| ID: mdl-38764765
ABSTRACT
The present letter to the editor is related to the study with the title "Automatic detection of small bowel (SB) lesions with different bleeding risk based on deep learning models". Capsule endoscopy (CE) is the main tool to assess SB diseases but it is a time-consuming procedure with a significant error rate. The development of artificial intelligence (AI) in CE could simplify physicians' tasks. The novel deep learning model by Zhang et al seems to be able to identify various SB lesions and their bleeding risk, and it could pave the way to next perspective studies to better enhance the diagnostic support of AI in the detection of different types of SB lesions in clinical practice.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Endoscopia por Cápsula
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Aprendizado Profundo
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Hemorragia Gastrointestinal
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Intestino Delgado
Limite:
Humans
Idioma:
En
Revista:
World J Gastroenterol
Assunto da revista:
GASTROENTEROLOGIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Itália