Artificial Intelligence (AI), Biomedical Research
Conditions
Brief summary
This study will evaluate the effects of the AI system developed by our team on biomedical research.
Detailed description
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.
Interventions
OTHERAI system
Participants will complete the research task with the AI system developed by out team to perform automated biomedical research.
Sponsors
Tsinghua University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Research quality evaluation scale | 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
| Measure | Time frame | Description |
|---|---|---|
| Model performance | 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. |
| Research time cost | 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. |
| User evaluation | Through study completion, an average of 1 week | User evaluation on the study will be assessed by Likert Scales. |
| Model resource consumption | 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. |
Countries
China
Contacts
Primary ContactJunxian Hong
Backup ContactWenquan Cheng
Outcome results
None listed