[Endoscopic Diagnosis Using Artificial Intelligence].


Journal

Gan to kagaku ryoho. Cancer & chemotherapy
ISSN: 0385-0684
Titre abrégé: Gan To Kagaku Ryoho
Pays: Japan
ID NLM: 7810034

Informations de publication

Date de publication:
Mar 2019
Historique:
entrez: 28 3 2019
pubmed: 28 3 2019
medline: 15 8 2019
Statut: ppublish

Résumé

Image recognition using artificial intelligence(AI)has developed dramatically with innovative technologies such as machine learning and deep learning. Currently, it is considered that AI has exceeded human ability in image recognition. In the field of endoscopic diagnosis, development of computer-aided diagnosis(CAD)systems using AI is progressing. The CAD is expected to help endoscopists improve detection and characterization of polyp, cancer, and inflamation in all digestive area. Some CAD systemes showing ability better than endoscopists have been reported. It may be well applicable to daily clinical practice as real time endoscopic diagnosis in the near future.

Identifiants

pubmed: 30914574

Types de publication

Journal Article

Langues

jpn

Pagination

412-417

Auteurs

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Classifications MeSH