Limitations and Deployment

Risks & contraindications

Evidence quality

Highlighted claims

• The study does not establish real-world safety, effectiveness, workflow impact, or health-equity outcomes. — Advancing conversational diagnostic AI with multimodal reasoning
• The specific implementation is not open-sourced because it depends on internal Google infrastructure and safety concerns about unmonitored medical AI deployment. — Advancing conversational diagnostic AI with multimodal reasoning
• Future work should include a full randomized clinical trial with CONSORT-style criteria, prespecified endpoints, preregistered analysis, and independent research organization involvement. — Advancing conversational diagnostic AI with multimodal reasoning
• Chat-based consultations limit non-verbal cues, dynamic visual assessment, and physical examination. — Advancing conversational diagnostic AI with multimodal reasoning
• Validation on private or prospectively collected datasets remains important because some public artifacts may have been encountered during pretraining. — Advancing conversational diagnostic AI with multimodal reasoning