ReviewDiagnostics (Basel, Switzerland)2022
Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease.
Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 31 citations in OpenAlex.
- Artificial intelligence and digital transformation of gastroenterology and hepatology: A critical review of clinical applications and future challenges.World journal of hepatology · 2026Review
- Explainable Artificial Intelligence for Rehospitalization and Financial Burden of Fertile Women in Orthopedic Care.Healthcare (Basel, Switzerland) · 2026Article
- Reprogramming the gastrointestinal microenvironment with intelligent biomaterials and digital medicine: a perspective on precision intervention for digestive diseases.Frontiers in bioengineering and biotechnology · 2026Article
- Health cooking at home: can cooking skills reduce gastrointestinal symptoms, cross sectional study?BMC gastroenterology · 2025Article
- Epidemiological and histopathological spectrum of gastrointestinal tract disorders: a decade of records from the UAE.BMC gastroenterology · 2025Article
- Optimal mean arterial pressure for favorable neurological outcomes in patients after cardiac arrest.Journal of intensive care · 2025Article
- Association between blood transfusion and early mortality in patient undergoing extracorporeal membrane oxygenation.Scientific reports · 2025Article
- Nutritional Status and Nutritional Support in Patients with Gastrointestinal Diseases.Nutrients · 2025Article
- Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old.Psychiatry investigation · 2024Article
- Explainable artificial intelligence on safe balance and its major determinants in stroke patients.Scientific reports · 2024Article
- Machine learning analysis with population data for prepregnancy and perinatal risk factors for the neurodevelopmental delay of offspring.Scientific reports · 2024Article
- Unveiling the Potential of Extracellular Vesicles as Biomarkers and Therapeutic Nanotools for Gastrointestinal Diseases.Pharmaceutics · 2024Review
- Explainable Model Using Shapley Additive Explanations Approach on Wound Infection after Wide Soft Tissue Sarcoma Resection: "Big Data" Analysis Based on Health Insurance Review and Assessment Service Hub.Medicina (Kaunas, Lithuania) · 2024Article
- The Potential Role of Intestinal Stem Cells and Microbiota for the Treatment of Colorectal Cancer.Advances in experimental medicine and biology · 2024Review
- Article
- Gastrointestinal Disease: New Diagnostic and Therapeutic Approaches.Biomedicines · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
This study reviews the recent progress of explainable artificial intelligence for the early diagnosis of gastrointestinal disease (GID). The source of data was eight original studies in PubMed. The search terms were "gastrointestinal" (title) together with "random forest" or "explainable artificial intelligence" (abstract). The eligibility criteria were the dependent variable of GID or a strongly associated disease, the intervention(s) of artificial intelligence, the outcome(s) of accuracy and/or the area under the receiver operating characteristic curve (AUC), the outcome(s) of variable importance and/or the Shapley additive explanations (SHAP), a publication year of 2020 or later, and the publication language of English. The ranges of performance measures were reported to be 0.70-0.98 for accuracy, 0.04-0.25 for sensitivity, and 0.54-0.94 for the AUC. The following factors were discovered to be top-10 predictors of gastrointestinal bleeding in the intensive care unit: mean arterial pressure (max), bicarbonate (min), creatinine (max), PMN, heart rate (mean), Glasgow Coma Scale, age, respiratory rate (mean), prothrombin time (max) and aminotransferase aspartate (max). In a similar vein, the following variables were found to be top-10 predictors for the intake of almond, avocado, broccoli, walnut, whole-grain barley, and/or whole-grain oat:
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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.