How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease

Anna L. Silverman; Dennis Shung; Ryan W. Stidham; Gursimran S. Kochhar; Marietta Iacucci

doi:10.1016/j.cgh.2024.05.048

How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease

Anna L. Silverman^*, Dennis Shung, Ryan W. Stidham, Gursimran S. Kochhar, Marietta Iacucci

^*Corresponding author for this work

Immunology and Immunotherapy

Research output: Contribution to journal › Article › peer-review

Abstract

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 large multi-modal data sources. AI applications in inflammatory bowel disease (IBD) includes predicting response to therapy, disease activity scoring of endoscopy, drug discovery, and identifying bowel damage in images. As a complex disease with entangled relationships between genomics, metabolomics, microbiome, and the environment, IBD stands to benefit greatly from methodologies that can handle this complexity. We describe current applications, critical challenges, and propose future directions of AI in IBD.

Original language	English
Journal	Clinical Gastroenterology and Hepatology
Early online date	9 Jul 2024
DOIs	https://doi.org/10.1016/j.cgh.2024.05.048
Publication status	E-pub ahead of print - 9 Jul 2024

Keywords

artificial intelligence
machine learning
computer vision
computer aided diagnosis
inflammatory bowel diseases
Ulcerative Colitis
Crohn’s disease

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10.1016/j.cgh.2024.05.048

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title = "How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease",

abstract = "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 large multi-modal data sources. AI applications in inflammatory bowel disease (IBD) includes predicting response to therapy, disease activity scoring of endoscopy, drug discovery, and identifying bowel damage in images. As a complex disease with entangled relationships between genomics, metabolomics, microbiome, and the environment, IBD stands to benefit greatly from methodologies that can handle this complexity. We describe current applications, critical challenges, and propose future directions of AI in IBD.",

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AU - Silverman, Anna L.

AU - Shung, Dennis

AU - Stidham, Ryan W.

AU - Kochhar, Gursimran S.

AU - Iacucci, Marietta

PY - 2024/7/9

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AB - 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 large multi-modal data sources. AI applications in inflammatory bowel disease (IBD) includes predicting response to therapy, disease activity scoring of endoscopy, drug discovery, and identifying bowel damage in images. As a complex disease with entangled relationships between genomics, metabolomics, microbiome, and the environment, IBD stands to benefit greatly from methodologies that can handle this complexity. We describe current applications, critical challenges, and propose future directions of AI in IBD.

KW - artificial intelligence

KW - machine learning

KW - computer vision

KW - computer aided diagnosis

KW - inflammatory bowel diseases

KW - Ulcerative Colitis

KW - Crohn’s disease

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DO - 10.1016/j.cgh.2024.05.048

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JO - Clinical Gastroenterology and Hepatology

JF - Clinical Gastroenterology and Hepatology

ER -

How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease

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Keywords

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