Trial · NCT07889895
AI Prediction of PIVC-Related Phlebitis
NCT07889895, Completed, Kutahya Health Sciences University
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. AI Prediction of PIVC-Related Phlebitis. Trials, record NCT07889895. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07889895
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- AI Prediction of PIVC-Related Phlebitis
- NCT number
- NCT07889895
- Status
- Completed
- Enrollment
- 461 participants, actual
- Lead sponsor
- Kutahya Health Sciences University
- Conditions
- Artificial Intelligence, Phlebitis After Infusion, Phlebitis
- Interventions
- Artificial Intelligence-Based Phlebitis Detection Model
- First posted
- 2026-10-22
- Last updated
- 2026-10-22
Source ClinicalTrials.gov
Registered outcomes2
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Peripheral Intravenous Catheter-Related Phlebitis Occurrence | From peripheral intravenous catheter insertion until catheter removal or up to 7 days after insertion, whichever occurs first | Occurrence of peripheral intravenous catheter-related phlebitis, assessed using the Visual Infusion Phlebitis Scale. The Visual Infusion Phlebitis Scale scores range from 0 to 5 (0 = healthy intravenous site, no signs of phlebitis; 5 = advanced stage thrombophlebitis). Higher scores indicate a worse outcome. Phlebitis will be defined as a Visual Infusion Phlebitis Scale score of 2 or higher. |
| Primary | Performance of the AI-Based Prediction Model | Up to 14 months | Photographs of peripheral intravenous catheter-related phlebitis sites will be captured in real time using a mobile phone from patients diagnosed with phlebitis. After the required number of images has been collected from all patients, the images will be graded by expert nurses and a physician using the Visual Infusion Phlebitis Scale (range 0 to 5; 0 = healthy intravenous site, 5 = advanced stage thrombophlebitis; higher scores indicate a worse outcome). The labeled dataset will then be divided into training, validation, and test sets. A deep learning model will be developed using the training and validation sets, and the final performance of the model will be determined on the test set using sensitivity, specificity, accuracy, precision, recall, and F1-score (each ranging from 0 to 1; higher values indicate better performance), and calibration. |
Source ClinicalTrials.gov
Outcomes0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
None in this release.
Results by group0
Each measurement the trial posted, group by group, in the words and numbers it posted.
None in this release.
Participant flow0
How many started, completed or left each group, period by period.
None in this release.
Adverse events0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
None in this release.
Adverse event totals0
The totals the trial posted for each group.
None in this release.
Papers0
The papers the trial lists on ClinicalTrials.gov.
None in this release.
Grants0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
None in this release.
Trial comparisons0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
None in this release.
Tests0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
None in this release.
Data dates
The day each source was copied for this release.
Sources 3
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ClinicalTrials.govNo license stated
- NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ClinicalTrials.govnone stated
- NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this trial from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/trials/v1/NCT07889895
GET https://conductscience.org/api/trials/v1/NCT07889895/registered