ReviewGastro hep advances2022
Artificial Intelligence and the Future of Gastroenterology and Hepatology.
Review in Gastro hep advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.Frontiers in medicine · 2025Pooled it
- Artificial intelligence in gastrointestinal and hepatopancreatobiliary surgery: innovations, integration, and future directions.Annals of medicine and surgery (2012) · 2026Review
- Phenotype-driven management in ileocecal Crohn's disease: a narrative review with a proposed research framework.Therapeutic advances in gastroenterology · 2026Review
- The role of artificial intelligence in gastroenterology: current perspectives and future directions-narrative review.Translational gastroenterology and hepatology · 2026Review
- Emerging role of artificial intelligence in gastroenterology and hepatology.World journal of gastroenterology · 2025Review
- Can artificial intelligence improve the diagnosis and management of patients with eosinophilic esophagitis?World journal of gastroenterology · 2025Review
- EndoNet: A Multiscale Deep Learning Framework for Multiple Gastrointestinal Disease Classification via Endoscopic Images.Diagnostics (Basel, Switzerland) · 2025Article
- Hereditary Colorectal Cancer Syndromes: Small Bowel Cancer Risk and Endoscopic Surveillance Strategies.Diagnostics (Basel, Switzerland) · 2025Review
- From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets.Journal of the Canadian Association of Gastroenterology · 2025Article
- Can Artificial Intelligence and Machine Learning Transform Prediction and Treatment of Post-Transjugular Intrahepatic Portosystemic Shunt (TIPS) Overt Hepatic Encephalopathy?Gastro hep advances · 2025Article
- Artificial Intelligence in GI endoscopy: what to expect.Frontiers in medicine · 2025Article
- Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future-A comprehensive review.Health care science · 2024Review
- Emerging molecules, tools, technology, and future of surgical knife in gastroenterology.World journal of gastrointestinal surgery · 2024Article
- Enteroscopy versus Video Capsule Endoscopy for Automatic Diagnosis of Small Bowel Disorders-A Comparative Analysis of Artificial Intelligence Applications.Biomedicines · 2023Review
- Challenges and Future Perspectives for Artificial Intelligence in Hepatology: Breaking Barriers for Better Care.Journal of clinical and experimental hepatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The integration of artificial intelligence (AI) into gastroenterology and hepatology (GI) will inevitably transform the practice of GI in the coming decade. While the application of AI in health care is not new, advancements are occurring rapidly, and the future landscape of AI is beginning to come into focus. From endoscopic assistance via computer vision technology to the predictive capabilities of the vast information contained in the electronic health records, AI promises to optimize and expedite clinical and procedural practice and research in GI. The extensive body of literature already available on AI applications in gastroenterology may seem daunting at first; however, this review aims to provide a breakdown of the key studies conducted thus far and demonstrate the many potential ways this technology may impact the field. This review will also take a look into the future and imagine how GI can be transformed over the coming years, as well as potential limitations and pitfalls that must be overcome to realize this future.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.