Correction: AI-enabled regional tele-ECG cloud platform and improving access to cardiovascular diagnosis: real-world evidence from southern China - Report - MDSpire

Correction: AI-enabled regional tele-ECG cloud platform and improving access to cardiovascular diagnosis: real-world evidence from southern China

  • By

  • Jia Xu

  • Min Pan

  • Lin Chen

  • Juan Fu

  • Rui Shi

  • Jun Xie

  • July 16, 2026

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Correction: Enhancing Cardiovascular Diagnosis Access through an AI-Driven Regional Tele-ECG Cloud Platform

Background

Access to cardiovascular diagnosis remains inconsistent between urban and primary healthcare environments, often due to geographical barriers. The integration of digital health technologies, such as AI-powered tele-ECG systems, can potentially bridge this gap.

Data Highlights

No numerical or trial data provided in the source material.

Key Findings

  • Rui Shi and Jun Xie are the correct corresponding authors for the article.
  • The original article discusses the application of an AI-powered regional tele-ECG cloud system.
  • Digital health infrastructures can enhance diagnostic accessibility in cardiovascular care.
  • Geographical obstacles contribute to disparities in cardiovascular disease outcomes.
  • AI technologies are increasingly being integrated into cardiovascular medicine.

Clinical Implications

The correction of authorship emphasizes the importance of accurate representation in research.

Conclusion

This correction serves to clarify authorship.

Related Resources & Content

  1. Xu J, Pan M, Chen L, Fu J, Shi R, Xie J, Front Cardiovasc Med, 2026 -- Correction: Enhancing Cardiovascular Diagnosis Access through an AI-Driven Regional Tele-ECG Cloud Platform
  2. mayo clinic — A conversation with Mayo Clinic experts in AI for cardiology
  3. Frontiers in Cardiovascular Medicine — Clinical cognition in the age of cardiovascular AI
  4. JMIR Medical Informatics — Multimodal Fusion of Echocardiogram Images and Electronic Medical Records for Heart Disease Screening: Retrospective Algorithm Development and Validation Study
  5. A conversation with Mayo Clinic experts in AI for cardiology
  6. Clinical cognition in the age of cardiovascular AI
  7. Pragmatic approaches to the evaluation and monitoring of artificial intelligence in cardiovascular care
  8. Diagnostic Accuracy of Artificial Intelligence for Arrhythmia Detection Using the 12-Lead Electrocardiogram: A Systematic Review and Meta-Analysis - PMC
  9. Multisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction | JACC: Advances

Original Source(s)

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