Cardiovascular and chronic disease prevention remains limited by episodic, clinic-based assessments that fail to capture physiological changes arising in daily life. As mobility constitutes one of the most stable and repetitive environments people inhabit, vehicles offer a unique setting for subliminal, continuous health monitoring. This Narrative presents the rationale and foundational framework for Automotive Health 2.0, a clinically oriented paradigm that transforms connected vehicles into validated platforms for physiological sensing, data integration and proactive care delivery. Building on existing in-cabin cameras, radar and microphones, multimodal algorithms enable unobtrusive estimation of cardiovascular, respiratory and behavioral parameters during routine driving. Technological innovation lies in combining these signals with AI-driven analytics to detect early disease signatures, support dynamic risk assessment and enable adaptive telemonitoring directly linked to electronic health records. Clinically, this approach distinguishes regulatory-grade monitoring from consumer wellness tools by prioritizing accuracy, reproducibility and integration with established workflows. Patients gain earlier detection and more equitable access to preventive care, clinicians receive continuous actionable data and health systems benefit from scalable population-level monitoring. Automotive Health 2.0 positions the vehicle as a novel extension of the healthcare ecosystem, embedding validated prevention seamlessly into everyday life.