The four epidemiological stages in the global evolution of inflammatory bowel disease

GG Kaplan, JW Windsor - Nature reviews Gastroenterology & …, 2021 - nature.com
Inflammatory bowel disease (IBD) is a global disease; its evolution can be stratified into four
epidemiological stages: Emergence, Acceleration in Incidence, Compounding Prevalence …

Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

[HTML][HTML] Artificial intelligence applications in inflammatory bowel disease: emerging technologies and future directions

J Gubatan, S Levitte, A Patel, T Balabanis… - World journal of …, 2021 - ncbi.nlm.nih.gov
Inflammatory bowel disease (IBD) is a complex and multifaceted disorder of the
gastrointestinal tract that is increasing in incidence worldwide and associated with …

Artificial intelligence for disease assessment in inflammatory bowel disease: how will it change our practice?

RW Stidham, K Takenaka - Gastroenterology, 2022 - Elsevier
Artificial intelligence (AI) has arrived and it will directly impact how we assess, monitor, and
manage inflammatory bowel disease (IBD). Advances in the machine learning …

How artificial intelligence will transform clinical care, research, and trials for inflammatory bowel disease

AL Silverman, D Shung, RW Stidham… - Clinical …, 2024 - Elsevier
Artificial intelligence (AI) refers to computer-based methodologies which use data to teach a
computer to solve pre-defined tasks; these methods can be applied to identify patterns in …

Predictors of ustekinumab failure in Crohn's disease after dose intensification

RS Dalal, C Njie, J Marcus, S Gupta… - Inflammatory Bowel …, 2021 - academic.oup.com
Abstract Background Many patients with Crohn's disease (CD) who lose response to the
standard ustekinumab dose interval of every 8 weeks (q8w) undergo dose intensification to …

A systematic review of artificial intelligence and machine learning applications to inflammatory bowel disease, with practical guidelines for interpretation

IS Stafford, MM Gosink, E Mossotto… - Inflammatory Bowel …, 2022 - academic.oup.com
Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …

Automatically detecting Crohn's disease and Ulcerative Colitis from endoscopic imaging

M Chierici, N Puica, M Pozzi, A Capistrano… - BMC Medical Informatics …, 2022 - Springer
Abstract Background The SI-CURA project (Soluzioni Innovative per la gestione del
paziente e il follow up terapeutico della Colite UlceRosA) is an Italian initiative aimed at the …

Positioning therapies in the management of Crohn's disease

NH Nguyen, S Singh, WJ Sandborn - Clinical Gastroenterology and …, 2020 - Elsevier
In the past decade, several new therapies with different mechanisms of action have been
approved for the management of moderate to severe Crohn's disease. However, there is …