Last reviewed · How we verify
NCT06828575
Evaluation of the Success of Artificial Intelligence Models in Interpreting Arterial Waveform Analysis Data
trial testing predictions in Hemodynamic Instability in 145 participants. Currently enrolling.
15 August 2025
Quick facts
| Lead sponsor | Kanuni Sultan Suleyman Training and Research Hospital |
|---|---|
| Status | Recruiting now |
| Study type | OBSERVATIONAL |
| Enrollment | 145 |
| Start date | 15 February 2025 |
| Primary completion | 15 August 2025 |
| Estimated completion | 16 August 2025 |
| Sites | 1 location across Turkey (Türkiye) |
Drugs / interventions tested
- predictions
Conditions studied
- Hemodynamic Instability — all drugs for Hemodynamic Instability →
Sponsor
Kanuni Sultan Suleyman Training and Research Hospital
Who can join
18 and older, any sex, with Hemodynamic Instability. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational study is to evaluate the ability of artificial intelligence (AI) models to interpret arterial waveform analysis data obtained from a hemodynamic monitoring system in adult patients undergoing elective surgery. The main questions it aims to answer are: Can AI models (ChatGPT-4 and Gemini 2.0) accurately detect hemodynamic abnormalities in arterial waveform data? How well do AI-generated diagnoses align with expert anesthesiologist assessments? Are AI-generated treatment recommendations clinically appropriate? Participants will: Undergo standard hemodynamic monitoring with an arterial waveform analysis device (MostCare). Have their anonymized hemodynamic data analyzed by AI models for abnormality detection, diagnosis suggestions, and treatment recommendations. Have AI-generated results reviewed and validated by experienced anesthesiologists. This study aims to assess whether AI models can serve as decision-support tools in perioperative and critical care settings by improving the interpretation of complex hemodynamic data, potentially enhancing patient safety, diagnostic accuracy, and clinical efficiency.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06828575
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Hemodynamic Instability
Currently open trials in the same condition.
- NCT07494955 — "Effect of Pre-Spinal Mindfulness-Based Breathing Exercise on Hemodynamic Response in Elective Cesarean Section" · NA · recruiting
- NCT07383220 — Effect of Electrical Stimulation and Exercise on Blood Flow in Patients With Resistant High Blood Pressure · NA · recruiting
- NCT07246148 — NOn-inVAsive Blood Pressure Monitoring in Intracranial Aneurysm Embolization · NA · recruiting
- NCT05893420 — A Rapid Diagnostic of Risk in Hospitalized Patients Using Machine Learning · NA · active not recruiting
- NCT06535230 — Anesthesia Induction with the Target-controlled Infusion of Propofol in High-risk Patients · NA · recruiting
Other Kanuni Sultan Suleyman Training and Research Hospital trials
Trials by the same sponsor.
- NCT07519551 — Serum Myostatin and Irisin Levels in Postmenopausal Women: Association With Bone Mineral Density and Muscle Strength · not yet recruiting
- NCT07480330 — Serum Neurofilament Light Chain Levels and Neuropathy Severity in Diabetic Polyneuropathy · not yet recruiting
- NCT07425405 — Daily Screen Exposure and Preoperative Anxiety in Children Aged 2-5 Years · recruiting
- NCT07358754 — The Relationship Between Serum S100B and Brain-Derived Neurotrophic Factor · recruiting
- NCT07261436 — Performance Comparison of Large Language Models in TAP Block Ultrasound Interpretation · recruiting
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 NCT06828575 (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 Kanuni Sultan Suleyman Training and Research Hospital
- Last refreshed: 4 March 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06828575.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing