ReviewPancreas2021
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.
Review in Pancreas, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06638866 (Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer), which is not on this map. Cited by 70 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.
Artificial Intelligence-based Health Information Management System and Key Technology Study of Early Screening and Hierarchical Diagnosis and Treatment of Pancreatic Cancer
Who cites it
70 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.
- Diagnostic Performance of Artificial Intelligence in Detecting and Distinguishing Pancreatic Ductal Adenocarcinoma via Computed Tomography: A Systematic Review and Meta-Analysis.Journal of imaging informatics in medicine · 2026Pooled it
- Mapping the global landscape of artificial intelligence in pancreatic cancer research: A bibliometric and visualization analysis.Medicine · 2026Article
- Progress, challenges, and future directions of pancreatic cancer surveillance in high-risk populations.Communications medicine · 2026Review
- Artificial Intelligence in Oncology: A Comprehensive Cross-Cancer Translational Readiness Analysis Across 18 Malignancies.Cancers · 2026Review
- Pancreatic Cancer Risk in Patients With Low-Risk Cystic Lesions.JAMA network open · 2026Article
- Article
- Evaluating deep learning models for pancreatic cancer diagnosis.Clinical and experimental medicine · 2026Article
- Validation of a Pretrained Artificial Intelligence Model for Pancreatic Cancer Detection on Diagnosis and Prediagnosis Computed Tomography Scans.Investigative radiology · 2026Article
- From Zero-Shot to Bedside: A Practical Playbook for Adapting Open-Source Large Language Models to Clinical Symptom Extraction.Proceedings of machine learning research · 2026Article
- Prediction of Pancreatic Cancer Risk in Patients with New-Onset Diabetes.Visceral medicine · 2025Review
- Evaluating the Cost-Effectiveness of Cervical Cancer Screening and Treatment in Western Romania.Current oncology (Toronto, Ont.) · 2025Article
- Toward diffusion MRI in the diagnosis and treatment of pancreatic cancer.Medical oncology (Northwood, London, England) · 2025Review
- Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection.Scientific reports · 2025Article
- Can AI Be Useful in the Early Detection of Pancreatic Cancer in Patients with New-Onset Diabetes?Biomedicines · 2025Review
- The known genetic variants of BRCA1, BRCA2 and NOD2 in pancreatitis and pancreatic cancer risk assessment.Scientific reports · 2025Article
- An update on pancreatic cancer imaging, staging, and use of the PACT-UK radiology template pre- and post-neoadjuvant treatment.The British journal of radiology · 2025Review
- Current paradigm and futuristic vision on new-onset diabetes and pancreatic cancer research.Frontiers in pharmacology · 2025Review
- Rapid and Sensitive Digital Droplet PCR Assays for Detecting HPV16 DNA in Liquid Biopsies.Journal of medical virology · 2025Article
- Distinct clinical outcomes and biological features of specific KRAS mutants in human pancreatic cancer.Cancer cell · 2024Article
- Imaging for Early Detection of Pancreatic Ductal Adenocarcinoma: Updates and Challenges in the Implementation of Screening and Surveillance Programs.AJR. American journal of roentgenology · 2024Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
34 authors at 18 institutions in 4 countries.
Funding
Abstract
abstractDespite considerable research efforts, pancreatic cancer is associated with a dire prognosis and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly nonspecific. The premise of improved survival through early detection is that more individuals will benefit from potentially curative treatment. Artificial intelligence (AI) methodology has emerged as a successful tool for risk stratification and identification in general health care. In response to the maturity of AI, Kenner Family Research Fund conducted the 2020 AI and Early Detection of Pancreatic Cancer Virtual Summit (www.pdac-virtualsummit.org) in conjunction with the American Pancreatic Association, with a focus on the potential of AI to advance early detection efforts in this disease. This comprehensive presummit article was prepared based on information provided by each of the interdisciplinary participants on one of the 5 following topics: Progress, Problems, and Prospects for Early Detection; AI and Machine Learning; AI and Pancreatic Cancer-Current Efforts; Collaborative Opportunities; and Moving Forward-Reflections from Government, Industry, and Advocacy. The outcome from the robust Summit conversations, to be presented in a future white paper, indicate that significant progress must be the result of strategic collaboration among investigators and institutions from multidisciplinary backgrounds, supported by committed funders.
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.