NCT06962423

Brief Summary

This study will evaluate the effects of the AI system developed by our team on biomedical research.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for not_applicable

Timeline
0mo left

Started May 2025

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress98%
May 2025May 2026

First Submitted

Initial submission to the registry

April 15, 2025

Completed
23 days until next milestone

First Posted

Study publicly available on registry

May 8, 2025

Completed
7 days until next milestone

Study Start

First participant enrolled

May 15, 2025

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 15, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 15, 2026

Last Updated

May 8, 2025

Status Verified

April 1, 2025

Enrollment Period

1 year

First QC Date

April 15, 2025

Last Update Submit

April 29, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • Research quality evaluation scale

    Independent senior experts will evaluate the research reports from the Intervention Group and the Control Group using a standardized 100-point Research Quality Evaluation Scale. A higher score indicates better research quality.

    Through study completion, an average of 1 week

Secondary Outcomes (4)

  • Model performance

    Through study completion, an average of 1 week

  • Research time cost

    Through study completion, an average of 1 week

  • User evaluation

    Through study completion, an average of 1 week

  • Model resource consumption

    Through study completion, an average of 1 week

Study Arms (2)

Control group

NO INTERVENTION

Participants will complete the research task without our AI system.

Intervention group

EXPERIMENTAL

Participants will complete the research task with AI system developed by our team.

Other: AI system

Interventions

Participants will complete the research task with the AI system developed by out team to perform automated biomedical research.

Intervention group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • (1) Age ≥ 18 years old;
  • (2) Agree to sign consent form and invest time in this study;
  • (3) Able to understand and complete research tasks.

You may not qualify if:

  • (1) Currently participating in other projects that may interfere with this research and unable to ensure participation time;
  • (2) Have a history of major diseases or poor physical condition in the past three months that may affect research participation;
  • (3) Unwilling or unable to understand and complete the research tasks.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Tsinghua University

Beijing, Beijing Municipality, 100084, China

Location

MeSH Terms

Interventions

Intelligent Systems

Intervention Hierarchy (Ancestors)

Artificial IntelligenceAlgorithmsMathematical Concepts

Study Officials

  • Tien Yin Wong

    Tsinghua University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Vice-Provost and Senior Vice-Chancellor, Tsinghua Medicine

Study Record Dates

First Submitted

April 15, 2025

First Posted

May 8, 2025

Study Start

May 15, 2025

Primary Completion (Estimated)

May 15, 2026

Study Completion (Estimated)

May 15, 2026

Last Updated

May 8, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will not share

Locations