Generative AI in the Clinic – Hype, Hope, and Reality

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Lars Lindsköld Science for Life Laboratory image/svg+xml
Martin Gerdes University of Agder image/svg+xml
Camila Tomikawa LIMAA Technologies , HIMSS DACH Committee
Birgit Bauer Data Saves Lives Germany
Rudolf Wagner ADHOCON GmbH
Tatyana Kanzaveli Open Health Network

Keywords

generative AI, regulatory, innovation

Abstract

Healthcare delivery faces significant challenges and generative AI has emerged as a potential solution to these longstanding healthcare issues. The session “Generative AI in the Clinic – Hype, Hope, and Reality” invited four leading experts at the intersection of artificial intelligence and healthcare to address challenging questions regarding the actual state of GenAI in medical practice. From different perspectives, each panelist brought their unique insight: medical innovation, patient advocacy, regulatory framework, and academic evidence.

Abstract | Generative AI in the Clinic Downloads

References

[1] Bhuyan SS, Sateesh, V, Mukul, N, et al. Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency. Journal of Medical Systems. 2025. 49:10. https://doi.org/10.1007/s10916-024-02136-1.

[2] Milmo D. CHATGPT reaches 100 million users two months after launch. The Guardian. 2023 Feb 2. Available from: https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app. Accessed on 27.02.2026.

[3] European Commission. Reuse of Health Data. Brussels: European Commission – Public Health. Available from: https://health.ec.europa.eu/ehealth-digital-health-and-care/reuse-health-data_en. Accessed on 27.02.2026.