Cardiovascular diabetology. Endocrinology reports

AI-based chest x-rays may detect hidden heart relaxation problems in diabetes and obesity and track responses to diabetes medications

Updated

Abstract

Evaluating diastolic function in patients with diabesity may aid in early detection of heart issues.

  • Diastolic function assessment could be crucial for patients with combined obesity and type-2 diabetes.
  • Incretin-based therapy is explored as a potential intervention in this population.
  • Early detection of diastolic dysfunction might help prevent progression to heart failure.

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Full Text

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Funding

Competing interests

Declarations. Ethics approval and consent to participate: The needed compiling and analysis of the focused data mined from the Mayo Clinic enterprise electronic medical record, with waived requirement for patient consenting, was performed with prior approval from the Mayo Clinic Institutional Review Board. No Generative-AI technology was used in the performance of this research or the preparation of this Short Report. Consent for publication: The use of the de-identified or anonymized data in this Short Report was approved by the Mayo Clinic Institutional Review Board. Authors’ information: RDW: Cardiovascular imager since mid-1980’s with MS in imaging-AI / Medical Director-Center for Augmented Intelligence in Imaging at Mayo Clinic Florida. MD: Computer engineer with AI subspecialization. BSE: Electrical and computer engineer with data-mining and AI subspecialization / Technical Director-Center for Augmented Intelligence in Imaging at Mayo Clinic Florida. GL: Chair-Cardiovascular Medicine at Mayo Clinic Florida with heart failure subspecialization. Supplementary information: Specific technical details and validation procedures related to the AI-enable CXR methodology applied in this study can be found at https://pubmed.ncbi.nlm.nih.gov/41174036/ . Competing interests: Other than an application filed by the Mayo Clinic (including White, Demirer, and Erdal) for a provisional patent to protect the used AI methodology while we gain real-world experience such as this, the authors have no potential competing interests to declare.
PubMed

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