ReviewWorld journal of gastroenterology2020
Artificial intelligence in gastric cancer: Application and future perspectives.
Review in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 4 of them syntheses that pooled it.
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
57 citing papers in PubMed, 4 syntheses or guidelines pooled it, 118 citations in OpenAlex.
- Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.Abdominal radiology (New York) · 2026Pooled it
- Global research hotspots and trends in the application of artificial intelligence in gastric cancer: a bibliometric analysis from 2005 to 2024.Frontiers in oncology · 2025Pooled it
- The antidepressive mechanism of Longya Lilium combined with Fluoxetine in mice with depression-like behaviors.NPJ systems biology and applications · 2024Pooled it
- Diagnostic Performance of Artificial Intelligence-Centred Systems in the Diagnosis and Postoperative Surveillance of Upper Gastrointestinal Malignancies Using Computed Tomography Imaging: A Systematic Review and Meta-Analysis of Diagnostic Accuracy.Annals of surgical oncology · 2022Pooled it
- Bibliometric visualization analysis of the application of artificial intelligence in gastrointestinal surgery recent 10 years.Updates in surgery · 2026Review
- AI in esophageal cancer: advances, barriers to clinical translation, and perspectives for digital health.Journal of translational medicine · 2026Review
- Artificial intelligence and transforming cancer care.Discover oncology · 2026Review
- Molecular imaging in gastric cancer: state-of-the-art techniques and emerging opportunities.Journal of translational medicine · 2026Review
- Lightweight deep learning model for gastrointestinal precancerous lesion screening with attention enhancement.Frontiers in medicine · 2026Article
- Oligometastatic Gastric Cancer: Novel Considerations for Personalized Approach.Journal of gastrointestinal cancer · 2025Review
- Topographic and Anatomical Landmarks of Key Points in Embryologically Guided Surgery for Locally Advanced Gastric Cancer Using Computer-Assisted 3D Navigation.Journal of clinical medicine · 2025Article
- Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence.International journal of computer assisted radiology and surgery · 2025Article
- Article
- The New Era of Total Neoadjuvant FLOT Therapy for Locally Advanced, Resectable Gastric Cancer: A Propensity-Matched Comparison With Standard Perioperative Therapy.Journal of surgical oncology · 2025Article
- Artificial intelligence in advanced gastric cancer: a comprehensive review of applications in precision oncology.Frontiers in oncology · 2025Review
- Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.Frontiers in immunology · 2025Article
- GastricAITool: A Clinical Decision Support Tool for the Diagnosis and Prognosis of Gastric Cancer.Biomedicines · 2024Article
- Article
- Novel milestones for early esophageal carcinoma: From bench to bed.World journal of gastrointestinal oncology · 2024Article
- Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.Frontiers in artificial intelligence · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a 5-year survival rate of less than 40%. In recent years, several applications of artificial intelligence (AI) have emerged in the gastric cancer field based on its efficient computational power and learning capacities, such as image-based diagnosis and prognosis prediction. AI-assisted diagnosis includes pathology, endoscopy, and computerized tomography, while researchers in the prognosis circle focus on recurrence, metastasis, and survival prediction. In this review, a comprehensive literature search was performed on articles published up to April 2020 from the databases of PubMed, Embase, Web of Science, and the Cochrane Library. Thereby the current status of AI-applications was systematically summarized in gastric cancer. Moreover, future directions that target this field were also analyzed to overcome the risk of overfitting AI models and enhance their accuracy as well as the applicability in clinical practice.
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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.