ReviewWorld journal of gastroenterology2022
Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease.
Review in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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
12 citing papers in PubMed, 25 citations in OpenAlex.
- Role of itaconate in intestinal disease (Review).International journal of molecular medicine · 2026Review
- Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics.Scientific reports · 2025Article
- Explainable AI in Digestive Healthcare and Gastrointestinal Endoscopy.Journal of clinical medicine · 2025Review
- The use of artificial intelligence in the treatment of rare diseases: A scoping review.Intractable & rare diseases research · 2024Article
- MED-ChatGPT CoPilot: a ChatGPT medical assistant for case mining and adjunctive therapy.Frontiers in medicine · 2024Article
- Impact of Artificial Intelligence in Endodontics: Precision, Predictions, and Prospects.Journal of medical signals and sensors · 2024Review
- Innovative preconditioning strategies for improving the therapeutic efficacy of extracellular vesicles derived from mesenchymal stem cells in gastrointestinal diseases.Inflammopharmacology · 2023Review
- Article
- Biological function and clinical application prospect of tsRNAs in digestive system biology and pathology.Cell communication and signaling : CCS · 2023Review
- Artificial Intelligence in Medicine and Dentistry.Acta stomatologica Croatica · 2023Review
- Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C.World journal of hepatology · 2023Article
- The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the breakthroughs in key technologies, such as image recognition, deep learning and neural networks, artificial intelligence (AI) continues to be increasingly developed, leading to closer and deeper integration with an increasingly data-, knowledge- and brain labor-intensive medical industry. As society continues to advance and individuals become more aware of their health needs, the problems associated with the aging of the population are receiving increasing attention, and there is an urgent demand for improving medical technology, prolonging human life and enhancing health. Digestive system diseases are the most common clinical diseases and are characterized by complex clinical manifestations and a general lack of obvious symptoms in the early stage. Such diseases are very difficult to diagnose and treat. In recent years, the incidence of diseases of the digestive system has increased. As AI applications in the field of health care continue to be developed, AI has begun playing an important role in the diagnosis and treatment of diseases of the digestive system. In this paper, the application of AI in assisted diagnosis and the application and prospects of AI in malignant and benign digestive system diseases are reviewed.
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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.