researchMar 11
Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
A clinical study evaluated the feasibility of conversational diagnostic AI in real-world settings, using Google's Med-PaLM 2 model. The study found that the AI system provided accurate diagnoses 78% of the time, with safety and efficacy comparable to human clinicians. The results suggest that conversational AI can be a useful tool for clinicians, but further research is needed to improve accuracy and address regulatory requirements. Builders should consider the potential applications and risks,
Key takeaways
- 78% accuracy rate in real-world clinical diagnoses
- Med-PaLM 2 performance comparable to human clinicians
- Regulatory hurdles remain for conversational diagnostic AI