Correction: Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis - Report - MDSpire
Advertisement
Correction: Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis
Clinical Report: Erratum on AI Models for Gastric Cancer Survival Prediction
Background
Artificial intelligence is increasingly utilized in oncology for prognostic modeling, particularly in predicting survival outcomes for gastric cancer. However, many AI-driven models rely on complex data that may not be readily available in clinical settings.
Data Highlights
No numerical or trial data is presented in the erratum.
Key Findings
The erratum corrects the funding statement for the original article.
The funding was provided by the Ministry of Economic Development of the Russian Federation.
The work was supported through a subsidy from the Federal Budget.
The original article has been updated to reflect this correction.
Clinical Implications
Clinicians should be aware of the importance of accurate funding disclosures in research publications, as they can impact the credibility of the findings. Understanding the sources of funding can also provide insight into potential biases in research.
Conclusion
The correction of the funding statement is essential for maintaining transparency in research. Accurate reporting is critical for the integrity of scientific literature.
