Literature DB >> 35722596

Artificial intelligence and inflammatory bowel disease: practicalities and future prospects.

Johanne Brooks-Warburton1,2, James Ashton3, Anjan Dhar4, Tony Tham5, Patrick B Allen5, Sami Hoque6, Laurence B Lovat7, Shaji Sebastian8,9.   

Abstract

Artificial intelligence (AI) is an emerging technology predicted to have significant applications in healthcare. This review highlights AI applications that impact the patient journey in inflammatory bowel disease (IBD), from genomics to endoscopic applications in disease classification, stratification and self-monitoring to risk stratification for personalised management. We discuss the practical AI applications currently in use while giving a balanced view of concerns and pitfalls and look to the future with the potential of where AI can provide significant value to the care of the patient with IBD. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  IBD clinical; computerised image analysis; endoscopy; genetics

Year:  2021        PMID： 35722596      PMCID： PMC9186028          DOI： 10.1136/flgastro-2021-102003

Source DB:  PubMed          Journal:  Frontline Gastroenterol        ISSN： 2041-4137


  35 in total

1.  Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease.

Authors:  Zhi Wei; Wei Wang; Jonathan Bradfield; Jin Li; Christopher Cardinale; Edward Frackelton; Cecilia Kim; Frank Mentch; Kristel Van Steen; Peter M Visscher; Robert N Baldassano; Hakon Hakonarson
Journal:  Am J Hum Genet       Date:  2013-05-23       Impact factor: 11.025

Review 2.  Clinical Genomics in Inflammatory Bowel Disease.

Authors:  Holm H Uhlig; Aleixo M Muise
Journal:  Trends Genet       Date:  2017-07-26       Impact factor: 11.639

3.  Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.

Authors:  Zhen Ding; Huiying Shi; Hao Zhang; Lingjun Meng; Mengke Fan; Chaoqun Han; Kun Zhang; Fanhua Ming; Xiaoping Xie; Hao Liu; Jun Liu; Rong Lin; Xiaohua Hou
Journal:  Gastroenterology       Date:  2019-06-25       Impact factor: 22.682

4.  CAGI4 Crohn's exome challenge: Marker SNP versus exome variant models for assigning risk of Crohn disease.

Authors:  Lipika R Pal; Kunal Kundu; Yizhou Yin; John Moult
Journal:  Hum Mutat       Date:  2017-06-28       Impact factor: 4.878

Review 5.  Artificial intelligence applications in inflammatory bowel disease: Emerging technologies and future directions.

Authors:  John Gubatan; Steven Levitte; Akshar Patel; Tatiana Balabanis; Mike T Wei; Sidhartha R Sinha
Journal:  World J Gastroenterol       Date:  2021-05-07       Impact factor: 5.742

Review 6.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

7.  Comparing deep belief networks with support vector machines for classifying gene expression data from complex disorders.

Authors:  Johannes Smolander; Matthias Dehmer; Frank Emmert-Streib
Journal:  FEBS Open Bio       Date:  2019-06-07       Impact factor: 2.693

Review 8.  Digital Health Apps in the Clinical Care of Inflammatory Bowel Disease: Scoping Review.

Authors:  Andrew Lukas Yin; David Hachuel; John P Pollak; Ellen J Scherl; Deborah Estrin
Journal:  J Med Internet Res       Date:  2019-08-19       Impact factor: 5.428

9.  Deep learning-based transcriptome data classification for drug-target interaction prediction.

Authors:  Lingwei Xie; Song He; Xinyu Song; Xiaochen Bo; Zhongnan Zhang
Journal:  BMC Genomics       Date:  2018-09-24       Impact factor: 3.969

Review 10.  Endoscopy and central reading in inflammatory bowel disease clinical trials: achievements, challenges and future developments.

Authors:  Klaus Gottlieb; Marco Daperno; Keith Usiskin; Bruce E Sands; Harris Ahmad; Colin W Howden; William Karnes; Young S Oh; Irene Modesto; Colleen Marano; Ryan William Stidham; Walter Reinisch
Journal:  Gut       Date:  2020-07-22       Impact factor: 23.059
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