The Role of Artificial Intelligence in Monitoring Inflammatory Bowel Disease-The Future Is Now.
Crohn’s disease
IBD-associated neoplasia
artificial intelligence
automated diagnosis
inflammatory bowel disease
ulcerative colitis
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
15 Feb 2023
15 Feb 2023
Historique:
received:
17
01
2023
revised:
02
02
2023
accepted:
02
02
2023
entrez:
25
2
2023
pubmed:
26
2
2023
medline:
26
2
2023
Statut:
epublish
Résumé
Crohn's disease and ulcerative colitis remain debilitating disorders, characterized by progressive bowel damage and possible lethal complications. The growing number of applications for artificial intelligence in gastrointestinal endoscopy has already shown great potential, especially in the field of neoplastic and pre-neoplastic lesion detection and characterization, and is currently under evaluation in the field of inflammatory bowel disease management. The application of artificial intelligence in inflammatory bowel diseases can range from genomic dataset analysis and risk prediction model construction to the disease grading severity and assessment of the response to treatment using machine learning. We aimed to assess the current and future role of artificial intelligence in assessing the key outcomes in inflammatory bowel disease patients: endoscopic activity, mucosal healing, response to treatment, and neoplasia surveillance.
Identifiants
pubmed: 36832222
pii: diagnostics13040735
doi: 10.3390/diagnostics13040735
pmc: PMC9954871
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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