AI vs. standard tool: which catches more drug dangers in the ICU?
NCT ID NCT07314125
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether ChatGPT-5 can detect harmful drug interactions in intensive care patients better than a standard computer system. Researchers analyzed medication lists from 101 ICU patients and compared the AI's findings to the usual tool. The goal is to see if AI can improve safety for critically ill patients on multiple medications.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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101 people
The number who actually took part.
- Started
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Sep 2025
- Finished
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Oct 2025
- Lead sponsor
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A government agency
The lead sponsor is a government body.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population consists of adult patients (≥18 years) admitted to the intensive care unit (ICU) for at least 48 hours at a tertiary care hospital. Eligible patients received four or more concurrent medications during their ICU stay, and only those with complete clinical and medication records were included. Patients with incomplete drug or interaction data, those receiving experimental or unproven drugs, as well as pediatric or pregnant patients, were excluded
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Patients aged 18 years or older * Admission to the intensive care unit (ICU) for at least 48 hours * Receipt of five or more medications concurrently during ICU stay * Availability of complete clinical data and medication lists Exclusion Criteria: * Cases with incomplete medication or interaction data * Patients receiving experimental or unproven drugs * Pediatric patients or those with pregnancy
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Bursa Yuksek Ihtisas Research and Education Hospital
Bursa, Bursa, 16235, Turkey (Türkiye)
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