Skip to main content
Top
Published in:

07-09-2024 | Artificial Intelligence

Generative AI in Pediatric Gastroenterology

Author: John M. Rosen

Published in: Current Gastroenterology Reports | Issue 12/2024

Login to get access

Abstract

Purpose of Review

The integration of digital technology into medical practice is often thrust upon clinicians, with standards and routines developed long after initiation. Clinicians should endeavor towards a basic understanding even of emerging technologies so that they can direct its use. The intent of this review is to describe the current state of rapidly evolving generative artificial intelligence (GAI), and to explore both how pediatric gastroenterology practice may benefit as well as challenges that will be faced.

Recent Findings

Although little research demonstrating the acceptance, practice, and outcomes associated with GAI in pediatric gastroenterology is published, there are relevant data adjacent to the specialty and overwhelming potential as professed in the media. Best practice guidelines are widely developed in academic publishing and resources to initiate and improve practical user skills are prevalent. Initial published evidence supports broad acceptance of the technology as part of medical practice by clinicians and patients, describes methods with which higher quality GAI can be developed, and identifies the potential for bias and disparities resulting from its use.

Summary

GAI is broadly available as a digital tool for incorporation into medical practice and holds promise for improved quality and efficiency of care, but investigation into how GAI can best be used remains at an early stage despite rapid evolution of the technology.
Appendix
Available only for authorised users
Literature
2.
go back to reference Hellen DJ, Fay ME, Lee DH, Klindt-Morgan C, Bennett A, Pachura KJ, et al. BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images. Am J Physiol Gastrointest Liver Physiol. United States; 2024;327:G1–15. https://doi.org/10.1152/ajpgi.00058.2024 Hellen DJ, Fay ME, Lee DH, Klindt-Morgan C, Bennett A, Pachura KJ, et al. BiliQML: a supervised machine-learning model to quantify biliary forms from digitized whole slide liver histopathological images. Am J Physiol Gastrointest Liver Physiol. United States; 2024;327:G1–15. https://​doi.​org/​10.​1152/​ajpgi.​00058.​2024
3.
go back to reference Pimentel M, Mathur R, Wang J, Chang C, Hosseini A, Fiorentino A, et al. A Smartphone Application Using Artificial Intelligence Is Superior To Subject Self-Reporting When Assessing Stool Form. Am J Gastroenterol. United States: by The American College of Gastroenterology; 2022;117:1118–24. https://doi.org/10.14309/ajg.0000000000001723 Pimentel M, Mathur R, Wang J, Chang C, Hosseini A, Fiorentino A, et al. A Smartphone Application Using Artificial Intelligence Is Superior To Subject Self-Reporting When Assessing Stool Form. Am J Gastroenterol. United States: by The American College of Gastroenterology; 2022;117:1118–24. https://​doi.​org/​10.​14309/​ajg.​0000000000001723​
4.
go back to reference Parasa S, Berzin T, Leggett C, Gross S, Repici A, et al. Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology. Gastrointest Endosc. Published by Elsevier Inc; 2024. https://doi.org/10.1016/j.gie.2023.12.003 Parasa S, Berzin T, Leggett C, Gross S, Repici A, et al. Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology. Gastrointest Endosc. Published by Elsevier Inc; 2024. https://​doi.​org/​10.​1016/​j.​gie.​2023.​12.​003
14.
go back to reference Naqvi HA, Delungahawatta T, Atarere JO, Bandaru SK, Barrow JB, Mattar MC. Evaluation of online chat-based artificial intelligence responses about inflammatory bowel disease and diet. Eur J Gastroenterol Hepatol. England: Wolters Kluwer Health, Inc; 2024;36:1109–12. https://doi.org/10.1097/meg.0000000000002815 Naqvi HA, Delungahawatta T, Atarere JO, Bandaru SK, Barrow JB, Mattar MC. Evaluation of online chat-based artificial intelligence responses about inflammatory bowel disease and diet. Eur J Gastroenterol Hepatol. England: Wolters Kluwer Health, Inc; 2024;36:1109–12. https://​doi.​org/​10.​1097/​meg.​0000000000002815​
15.
go back to reference Simsek C, al. et. GastroGPT: first specialty-specific AI language model outperforms general models across key clinical tasks. 2023. UEG Annual Meeting. Abstract. Simsek C, al. et. GastroGPT: first specialty-specific AI language model outperforms general models across key clinical tasks. 2023. UEG Annual Meeting. Abstract.
24.
go back to reference van der Zander QEW, van der Ende-van Loon MCM, Janssen JMM, Winkens B, van der Sommen F, Masclee AAM, et al. Artificial intelligence in (gastrointestinal) healthcare: patients’ and physicians’ perspectives. Sci Rep. England: The Author(s); 2022;12:16779–022–20958–2. https://doi.org/10.1038/s41598-022-20958-2 van der Zander QEW, van der Ende-van Loon MCM, Janssen JMM, Winkens B, van der Sommen F, Masclee AAM, et al. Artificial intelligence in (gastrointestinal) healthcare: patients’ and physicians’ perspectives. Sci Rep. England: The Author(s); 2022;12:16779–022–20958–2. https://​doi.​org/​10.​1038/​s41598-022-20958-2
Metadata
Title
Generative AI in Pediatric Gastroenterology
Author
John M. Rosen
Publication date
07-09-2024
Publisher
Springer US
Published in
Current Gastroenterology Reports / Issue 12/2024
Print ISSN: 1522-8037
Electronic ISSN: 1534-312X
DOI
https://doi.org/10.1007/s11894-024-00946-4

Keynote series | Spotlight on menopause

Menopause can have a significant impact on the body, with effects ranging beyond the endocrine and reproductive systems. Learn about the broader systemic effects of menopause, so you can help patients in your clinics through the transition.

Launching: Thursday 12th December 2024
 

Prof. Martha Hickey
Dr. Claudia Barth
Dr. Samar El Khoudary
Developed by: Springer Medicine
Register your interest now

Keynote webinar | Spotlight on adolescent vaping

  • Live
  • Webinar | 29-01-2025 | 18:00 (CET)

Growing numbers of young people are using e-cigarettes, despite warnings of respiratory effects and addiction. How can doctors tackle the epidemic, and what health effects should you prepare to manage in your clinics?

Watch it live: Wednesday 29th January, 18:00-19:30 CET
 

Prof. Ann McNeill
Dr. Debbie Robson
Benji Horwell
Developed by: Springer Medicine
Join the webinar

Keynote webinar | Spotlight on modern management of frailty

Frailty has a significant impact on health and wellbeing, especially in older adults. Our experts explain the factors that contribute to the development of frailty and how you can manage the condition and reduce the risk of disability, dependency, and mortality in your patients.

Prof. Alfonso Cruz-Jentoft
Prof. Barbara C. van Munster
Prof. Mirko Petrovic
Developed by: Springer Medicine
Watch now

A quick guide to ECGs

Improve your ECG interpretation skills with this comprehensive, rapid, interactive course. Expert advice provides detailed feedback as you work through 50 ECGs covering the most common cardiac presentations to ensure your practice stays up to date. 

PD Dr. Carsten W. Israel
Developed by: Springer Medizin
Start the cases

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine
Read more