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Recruiting NCT07439757

NCT07439757 AI-Powered Precision Decision-Making for Pancreatic Diseases

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07439757
Status Recruiting
Phase
Sponsor Changhai Hospital
Condition Pancreatic Cancer
Study Type OBSERVATIONAL
Enrollment 2,000 participants
Start Date 2026-03-01
Primary Completion 2029-10-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 80 Years
Study Type OBSERVATIONAL
Interventions
Diagnosis by Artificial Intelligence model

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 2,000 participants in total. It began in 2026-03-01 with a primary completion date of 2029-10-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

This multicenter clinical trial evaluates an artificial intelligence (AI) system designed to assist in the diagnosis and management of pancreatic diseases. Using contrast-enhanced CT scans, the study compares the AI's recommendations against the decisions of experienced clinicians to verify the system's accuracy and safety in a real-world setting. Patients are categorized into three management groups: Intervention (surgery/treatment), Intensive Surveillance (close monitoring), or Routine Surveillance (standard follow-up). The primary goal is to determine if the AI system can reliably classify patients, reduce the risk of missing malignant lesions, and prevent unnecessary surgeries, thereby improving clinical decision-making for pancreatic conditions.

Eligibility Criteria

Inclusion Criteria: * Clinically suspected pancreatic disease. * Scheduled to undergo contrast-enhanced CT. * Signed informed consent form indicating agreement to participate. Exclusion Criteria: * History of pancreatic surgery. * Contraindications to contrast-enhanced CT, including known hypersensitivity to iodinated contrast media or severe renal/hepatic dysfunction. * Suboptimal image quality affecting diagnosis. * Concurrent participation in another interventional clinical trial. * Unsuitability for participation as determined by the investigator, including but not limited to: pregnancy or lactation, severe psychiatric disorders or cognitive impairment, significant comorbidities that may interfere with study results or patient safety.

Contact & Investigator

Central Contact

Beilei Wang, Doctor

✉ lilly_wang@126.com

📞 +86 13774238083

Frequently Asked Questions

Who can join the NCT07439757 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 80 Years, studying Pancreatic Cancer. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07439757 currently recruiting?

Yes, NCT07439757 is actively recruiting participants. Contact the research team at lilly_wang@126.com for enrollment information.

Where is the NCT07439757 trial being conducted?

This trial is being conducted at Shanghai, China.

Who is sponsoring the NCT07439757 clinical trial?

NCT07439757 is sponsored by Changhai Hospital. The trial plans to enroll 2,000 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: July 2026  ·  Data Methodology