AI vs. doctors: Who's better at predicting surgery risks?

NCT ID NCT02741986

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

Summary

This study tests a computer system that uses patient data to predict complications after surgery. Doctors and the computer will each give risk scores for 200 patients, and researchers will compare which is more accurate. The goal is to see if technology can help improve surgical safety.

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 more accurate surgical risk predictions, helping doctors make better decisions before and after surgery.

What could go wrong

This is an early-stage study with only 200 participants, so results may not apply to all hospitals or surgeries. The computer system may not outperform doctors.

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.

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Conditions

The condition(s) this trial relates to.

acute kidney injury Postoperative Complications Sepsis

As listed by the trial registrant

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

Contacts and locations

Locations

  • UF Health

    Gainesville, Florida, 32610-3003, United States

  • UF Health Jacksonville

    Jacksonville, Florida, 32209, United States