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

NCT ID NCT02741986

Ongoing Knowledge-focused Sponsor: University of Florida Source: ClinicalTrials.gov ↗

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.

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.

acute kidney injury Postoperative Complications Sepsis

As listed by the trial registrant

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

POSTOPERATIVE COMPLICATIONS

Contacts and locations

Locations

UF Health

Gainesville, Florida, 32610-3003, United States
UF Health Jacksonville

Jacksonville, Florida, 32209, United States

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