Views on artificial intelligence (AI) assisted clinical trials

Area of Science:

• Medical Research
• Health Informatics
• Clinical Trials

Background:

• Artificial intelligence (AI) offers potential for predicting unknown events using existing data.
• The integration of AI into clinical trials is a developing area of interest.
• Understanding medical professionals' perspectives is crucial for AI adoption in healthcare.

Purpose of the Study:

• To document medical professionals' views on applying AI in clinical trials.
• To assess awareness, perception, and opinions regarding AI in clinical research.
• To identify potential impacts of AI on the drug evaluation process.

Main Methods:

• A web survey with a structured questionnaire was administered to 377 medical professionals.
• The questionnaire comprised 17 statements covering awareness, perception, and opinion.
• Data analysis involved a two-tailed Fisher's exact test with a p-value <0.05 for significance.

Main Results:

• The majority of surveyed professionals hold positive views on AI in clinical trials.
• AI application is anticipated to accelerate the drug evaluation process.
• AI tools are not expected to substitute human subjects in clinical trial contexts.

Conclusions:

• Medical professionals generally support the use of AI in clinical trials.
• AI has the potential to enhance efficiency in drug development.
• AI is viewed as a complementary tool, not a replacement for human involvement.