Human-Centered AI in Healthcare: Psychological Strategies for Engaging AI-Physician Interfaces Workshop

On 20 May 2025, the AI4LUNGS project successfully delivered its 3rd Stakeholders Forum Workshop: “Human-Centered AI in Healthcare: Psychological Strategies for Engaging AI-Physician Interfaces.”  This highly interactive session, led by Professor Yair Amichai-Hamburger and Dr. Yaron Sela from Reichman University, brought together clinicians, psychologists, and digital health experts to explore the cognitive, emotional, and behavioural factors influencing AI adoption in clinical practice. Participants were introduced to the project’s State-Trait approach for UX/UI design and engaged in discussion on how situational stress and stable personality traits impact user interaction with AI systems. 

The workshop presented AI4LUNGS’ three-phase UX strategy—Study, Design, Test—highlighting the importance of evidence-based design, multimodal sensor integration, and participatory validation methods. With a focus on trust, transparency, and usability, the session underscored how psychological principles must inform the development of AI interfaces and digital twins to ensure successful integration into the clinical decision-making pathway. 

“Our approach ensures that AI tools meet clinicians where they are—mentally, emotionally, and behaviourally. By accounting for stress responses and personality traits, we’ve designed an interface that works with the user as a partner to enhance the decision-making processes in the clinical settings”, says Dr. Yaron Sela.

As AI4LUNGS advances its digital twin platform—combining structured and unstructured data to support diagnosis and treatment of complex respiratory diseases—this workshop reaffirmed the project’s commitment to human-centred innovation. By involving stakeholders early and incorporating human-machine interaction research, AI4LUNGS ensures its tools are both technically robust and meaningfully aligned with clinical realities.

"For AI to truly support clinical decision-making, it must speak the language of trust, intuition, and workflow—technology alone is not enough.", Thanos Arvanitidis, project manager from Future Needs. 

Funded under Horizon Europe, AI4LUNGS is developing integrated, interpretable AI models to transform the diagnosis and treatment of infectious and non-infectious respiratory conditions. From digital auscultation to - biomarkers, and from explainable AI to secure, GDPR-compliant infrastructure, the project is building a holistic, trustworthy, and scalable platform for future healthcare. 

Join the Stakeholder Forum to shape the future of AI in healthcare: https://www.ai4lungs.eu/stakeholders-forum  

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