Implementation of artificial intelligence in medicine: Status analysis and development suggestions

Area of Science:

• Medical Artificial Intelligence (AI)
• Public Perception and Health Technology

Background:

• Public attitudes towards medical AI are crucial for guiding its future development to meet evolving healthcare needs.
• Understanding public perceptions, receptivity, and demands is essential for the successful implementation of AI in medicine.

Purpose of the Study:

• To investigate public perceptions, receptivity, and demands concerning the implementation of medical AI.
• To assess differences in perceptions and demands between healthcare and non-healthcare workers, and across age groups.

Main Methods:

• An online questionnaire surveyed 2,780 participants across 22 provinces from October 13-30, 2018.
• Descriptive statistics were used to analyze distributions of perceptions, receptivity, and demands.
• A linear regression model identified factors associated with public receptivity to medical AI.

Main Results:

• Nearly all participants (99%) expressed acceptance of AI, with no significant difference between healthcare and non-healthcare workers.
• Significant differences were observed in demands for AI assistance and improvements, and perceptions of safety, validity, and trust (p < 0.001).
• A substantial gap exists between the availability of AI services and public demand, particularly in areas like imaging, pathology, and surgery.

Conclusions:

• The public demonstrates high receptivity to medical AI, but current advancements lag behind public demands.
• Healthcare professionals show a strong willingness to engage with and learn about AI technologies.
• Further development and integration efforts are imperative to align medical AI capabilities with public expectations and needs.