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NCT Number: NCT06962423

AI-driven Automated Biomedical Research

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

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Key information

Conditions

Biomedical Research Artificial Intelligence (AI)

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

About this study

It i a randomized-controlled study. Participants will be randomly assigned to the Intervention Group using our AI system and the Control Group. Both groups will perform the same biomedical research tasks and submit reports. At the end of the study, the research performance of the two groups will be evaluated.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • (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.

Exclusion criteria

  • (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.

Treatment and study plan

AI system

Other

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

Primary outcomes

  1. Research quality evaluation scale

    Time frame: Through study completion, an average of 1 week

    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.

Secondary outcomes

  1. Model performance

    Time frame: Through study completion, an average of 1 week

    The diagnostic accuracy, sensitivity, specificity, and area under the receiver-operating characteristic curve (AUC-ROC) will be reported to compare the performance of models generated by the Intervention Group and the Control Group.

  2. Research time cost

    Time frame: Through study completion, an average of 1 week

    The time spent by the Intervention Group and the Control Group to complete tasks will be compared.

  3. User evaluation

    Time frame: Through study completion, an average of 1 week

    User evaluation on the study will be assessed by Likert Scales.

  4. Model resource consumption

    Time frame: Through study completion, an average of 1 week

    GPU usage rate and time and model size will be tracked and compared to evaluate the computational resource consumption of the Intervention Group and Control Group.

Study contacts

Contact information is provided by the study sponsor or research team.

Junxian Hong

CONTACT

[email protected]

+86 18800129260

Wenquan Cheng

CONTACT

[email protected]

+86 15385706612

Sponsors and collaborators

Lead sponsor

Tsinghua University

Other

Registry information

Official study title

A Study on Artificial Intelligence-based Automated Biomedical Research

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
May 8, 2025
Registry last updated
May 8, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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