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NCT05497258
IDEAS-AAP System Diagnoses Acute Abdominal Pain
NA trial testing Artificial intelligence assistant system in Artificial Intelligence in 151 participants. Completed in 1 October 2022.
1 September 2022
Quick facts
| Lead sponsor | Renmin Hospital of Wuhan University |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 151 |
| Start date | 15 August 2022 |
| Primary completion | 1 September 2022 |
| Estimated completion | 1 October 2022 |
| Sites | 1 location across China |
Drugs / interventions tested
- Artificial intelligence assistant system
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Diagnoses Disease — all drugs for Diagnoses Disease →
Sponsor
Renmin Hospital of Wuhan University
Who can join
18 and older, any sex, with Artificial Intelligence or Diagnoses Disease. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This is a study to validate the effect of the intelligent diagnostic evidence-based analytic system in acute abdominal pain augmentation. Included physicians were randomly assigned into control or AI-assisted group. In this experiment, the whole electronic health record of each acute abdominal pain patient was divided into two parts, signs and symptoms recording (including chief complaint, present history, physical examination, past medical history, trauma surgery history, personal history, family history, obstetrical history, menstrual history, blood transfusion history, drug allergy history) and auxiliary examination recording (including laboratory examination and radiology report). For each case, the control group readers will first read the signs and symptoms recording of electronic health record and make a clinical diagnosis. Then the readers have to decide to either order a list of auxiliary examinations or confirm the clinical diagnosis without further examination. If the readers choose to order examinations, the corresponding examination results will be feedback to the readers, and the readers can then decide to either continue to order a list of auxiliary examinations or make a confirming diagnosis. Such cycle will last until the reader make a confirming diagnosis. For the AI-assisted readers, the physicians were additionally provided with the feature extracted by IDEAS-AAP, a list of suspicious diagnoses predicted by IDEAS-AAP, and corresponding diagnostic criteria according to guidelines. After the readers get the examination results, the IDEAS-AAP will renew its diagnosis prediction
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05497258 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Renmin Hospital of Wuhan University
- Last refreshed: 8 November 2022
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