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Paper short abstract

This research explores how AI-driven vocal biomarker analysis reframes medical practice in primary care teleconsultations. It investigates the "coupling" between physicians and AI to understand how these tools are integrated into diagnostic workflows.

Paper long abstract

This research explores how AI-driven vocal biomarker analysis reframes medical practice in primary care teleconsultations. It investigates the "coupling" between physicians and AI to understand how these tools are integrated into diagnostic workflows. Integrating AI vocal biomarkers offers a promising solution for early Parkinson’s disease screening in teleconsultations, particularly where physical examinations are limited. Using simulated teleconsultations where family physicians interact with an AI system, this study analyzes video recordings of teleconsultations and post-simulation interviews.

Preliminary results highlight a form of distributed clinical reasoning, where AI-generated vocal biomarkers trigger a reconfiguration of diagnostic attention. The study identifies four core dynamics within this human–AI coupling:

-Cross-validation: The AI reinforces the physician’s pre-existing clinical intuitions.

-Clinical arbitrage: When AI results conflict with medical judgment, the clinician performs mediation work to navigate the tension and avoid unnecessary testing.

-Attentional reframing: The tool facilitates the reinterpretation of specific clinical signs and shifts clinical focus toward new dimensions.

-Diagnostic co-evolution: Clinical reasoning matures through the interaction, as the system occasionally uncovers clinical elements that the patient had not previously mentioned.

Keywords: Medical AI, Clinical Reasoning, Teleconsultation, Human-AI Coupling, Parkinson’s Disease