Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

AI reads your ECG to spot hidden heart risk before cancer surgery

NCT ID NCT07634666

First seen Jun 10, 2026 · Last updated Jun 22, 2026 · Updated 1 time

Summary

This study will enroll 200 adults aged 60 and older who are scheduled for major surgery for urologic cancer. Researchers will use artificial intelligence to analyze a standard 12-lead electrocardiogram (ECG) taken before surgery. The goal is to see if the AI can predict which patients will experience heart injury or major heart problems within 30 days after surgery. No treatments are given—this is purely an observational study to improve risk prediction.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for MYOCARDIAL INJURY AFTER NON-CARDIAC SURGERY are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to

If successful, this could lead to a simple, low-cost way to identify patients at high risk of heart complications after surgery, helping doctors take preventive steps.

What could go wrong

This is an observational study, not a treatment trial. It only looks at whether AI can predict risk—it does not test any intervention to reduce that risk. Results may not apply to all patients or settings.

Conditions

The condition(s) this trial relates to.

malignant urinary system neoplasm Urologic Neoplasms

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.