AI may help predict heart risk in elderly surgery patients

NCT ID NCT07566013

Ongoing Knowledge-focused Sponsor: DİLEK KALAYCI Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at whether a computer model can predict heart injury after major orthopedic surgery in patients 65 and older. Researchers will combine blood tests, frailty scores, and other health data to build a machine learning tool. The goal is to help doctors spot high-risk patients before surgery, but this is an observational study and does not test a new treatment.

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 tool that helps doctors identify elderly patients at high risk of heart injury before surgery, allowing for better planning and care.
What could go wrong: This is an observational study, not a treatment trial. The model may not work perfectly in all hospitals or patient groups, and it does not directly improve outcomes.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Frailty hip fracture myocardial ischemia Postoperative Complications

As listed by the trial registrant

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

FRAILTY GERIATRIC PATIENTS HIP SURGERIES MYOCARDIAL ISCHEMIA POSTOPERATIVE COMPLICATIONS

Contacts and locations

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Locations

Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital

Ankara, Ankara, 06630, Turkey (Türkiye)

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