This study will evaluate the effects of the AI system developed by our team on biomedical research.
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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Enrollment
40
Participants will complete the research task with the AI system developed by out team to perform automated biomedical research.
Tsinghua University
Beijing, Beijing Municipality, China
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.
Time frame: Through study completion, an average of 1 week
Model performance
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.
Time frame: Through study completion, an average of 1 week
Research time cost
The time spent by the Intervention Group and the Control Group to complete tasks will be compared.
Time frame: Through study completion, an average of 1 week
User evaluation
User evaluation on the study will be assessed by Likert Scales.
Time frame: Through study completion, an average of 1 week
Model resource consumption
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.
Time frame: Through study completion, an average of 1 week
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