Virtual Patient AI: Revolutionizing Healthcare with Intelligent Patient Engagement

Virtual Patient AI redefines healthcare delivery through end-to-end AI-driven patient care, inspired by the AIDOC project (Studie EK Nr: 1417/2024, Pilotstudie zur KI-basierten Früherkennung von prämalignen Läsionen des oralen Plattenepithelkarzinoms. Institution: Medizinische Universität Wien, Universitätsklinik für Mund-, Kiefer- und Gesichtschirurgie). As the first comprehensive open source AI system for patient interaction, we specialize in dental and plastic surgery markets, offering seamless solutions from initial consultation to post-operative follow-up.

Built on peer-reviewed clinical protocols and GDPR-compliant infrastructure, our platform ensures data sovereignty via local server control. The open-source MedlibreGPT core enables interdisciplinary collaboration while maintaining enterprise-grade security, mirroring the concept of the AIDOC pilot in early oral cancer detection.

Key Features

- Five-Tier Architecture: Combines multichannel communication (SMS/email), real-time symptom assessment, and dynamic AI responses powered by RAG-enhanced literature analysis.

- AI-Twin Technology: Emulates specialist decision-making, integrating clinical guidelines for precision diagnostics.

- Scalable Compliance: HIPAA-ready data layers with PostgreSQL/Nextcloud integration, adaptable to diverse medical workflows.

Already proven in 1,000+ teleconsultations, our system empowers clinicians and patients alike with AI-driven insights. Whether enhancing early cancer detection in dentistry, generating a treatment proposal via artificial intelligence or streamlining surgical aftercare, Virtual Patient AI delivers measurable ROI through improved patient outcomes and operational efficiency.

*Partner with us to future-proof your practice—where cutting-edge AI meets clinical excellence.

Inspired by AIDOC’s innovation at the Medical University of Vienna.