Evaluation of Large Language Models in Parasternal Block Ultrasound Interpretation
NCT07915206, Recruiting, Kanuni Sultan Suleyman Training and Research Hospital
Trial 9
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
| Field | Value | Source |
|---|---|---|
| Title | Evaluation of Large Language Models in Parasternal Block Ultrasound Interpretation | ClinicalTrials.gov |
| NCT number | NCT07915206 | ClinicalTrials.gov |
| Status | Recruiting | ClinicalTrials.gov |
| Enrollment | 32 participants, estimated | ClinicalTrials.gov |
| Lead sponsor | Kanuni Sultan Suleyman Training and Research Hospital | ClinicalTrials.gov |
| Conditions | Parasternal Block | ClinicalTrials.gov |
| Interventions | Multimodal Large Language Model-Based Ultrasound Assessment | ClinicalTrials.gov |
| First posted | 2026-11-04 | ClinicalTrials.gov |
| Last updated | 2026-11-06 | ClinicalTrials.gov |
Registered outcomes 7
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description | Source |
|---|---|---|---|---|
| Primary | Correct Local Anesthetic Deposition | During the ultrasound-guided block procedure | The accuracy of ChatGPT and Gemini in determining whether the local anesthetic solution was deposited within the intended fascial plane will be evaluated using ultrasound recordings. Model assessments will be compared with the expert reference assessment. Accuracy will be calculated as the percentage of correctly classified recordings. | ClinicalTrials.gov |
| Secondary | Anatomical Identification Accuracy | During the ultrasound-guided block procedure | The ability of ChatGPT and Gemini to correctly identify anatomical structures visible in parasternal intercostal plane block ultrasound recordings will be evaluated against expert anesthesiologist assessments. Anatomical identification performance will be scored using predefined criteria. | ClinicalTrials.gov |
| Secondary | Needle Tip Position | During the ultrasound-guided block procedure | The accuracy of ChatGPT and Gemini in determining whether the needle tip is located within the intended fascial plane will be compared with the expert reference assessment. Results will be reported as the percentage of correctly classified recordings. | ClinicalTrials.gov |
| Secondary | Local Anesthetic Spread | During the ultrasound-guided block procedure | The ability of each model to classify local anesthetic spread as superficial or deep and identify the observed spread pattern will be compared with expert assessments. Classification accuracy will be reported as a percentage. | ClinicalTrials.gov |
| Secondary | Procedural Risk Identification | During the ultrasound-guided block procedure | The ability of each model to identify potential procedural risks involving adjacent anatomical structures, including the internal mammary vessels and pericardium, will be evaluated against expert assessments. Accuracy will be reported as the percentage of correctly classified recordings. | ClinicalTrials.gov |
| Secondary | Clinical Recommendation Quality | During the ultrasound-guided block procedure | The appropriateness of recommendations regarding inadequate local anesthetic spread, corrective actions, and additional injection will be assessed by an independent expert anesthesiologist using a predefined scoring system ranging from 0 to 10, with higher scores indicating greater clinical appropriateness. | ClinicalTrials.gov |
| Secondary | Agreement With Expert Assessment | During the ultrasound-guided block procedure | Agreement between ChatGPT, Gemini, and expert anesthesiologist assessments will be evaluated for predefined ultrasound interpretation parameters. Agreement will be quantified using Cohen's kappa for applicable categorical assessments. | ClinicalTrials.gov |
Outcomes 0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
| Type | Outcome | Time frame | Population | Units | Measured as | Source |
|---|
Results by group 0
Each measurement the trial posted, group by group, in the words and numbers it posted.
| Outcome | Group | Category | Value | Spread | Units | Source |
|---|
Participant flow 0
How many started, completed or left each group, period by period.
| Period | Milestone | Group | Participants | Units counted | Source |
|---|
Adverse events 0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
| Type | Event | Organ system | Group | Affected | At risk | Events | Source |
|---|
Adverse event totals 0
The totals the trial posted for each group.
| Total | Group | Affected | At risk | Source |
|---|
Papers 0
The papers the trial lists on ClinicalTrials.gov.
| PMID | Listed as | Source |
|---|
Grants 0
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.
| Project | Title | Principal investigators | Organization | Funder | Fiscal years | Source |
|---|
Trial comparisons 0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
| Comparison | Source |
|---|
Tests 0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
| Test | Named as | Source |
|---|
Source 5
| Field | Value | Source |
|---|---|---|
| Release | trials-2026-11-12-0.4.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | 0f4a8d8c48aee2a7573ae0fa94ecbeab70c1adbe449bbc95c424bc7d3e97b9d4 | ClinicalTrials.gov |
| Registry capture | 2026-11-12 | ClinicalTrials.gov |
| Results copy, AACT | 2026-03-23 | ClinicalTrials.gov |
| NIH clinical studies file | 2026-11-13 | ClinicalTrials.gov |
Release trials-2026-11-12-0.4.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.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.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
NIH RePORTER's clinical studies and project files: Public domain (NIH RePORTER)