Sessions

Therapeutic alliance is a key predictor of treatment outcomes, with microcounseling skills—such as reflective listening and open-ended questions—playing a vital role. Regular, especially immediate, feedback helps therapists refine these skills, but traditional coding methods are costly and time-intensive. This study explored fine-tuned Large Language Models (LLMs) to automatically identify microcounseling skills in psychotherapy sessions.Using annotated psychotherapy transcripts, the model was trained to classify therapist statements, explain its classifications, and suggest alternative responses. The model demonstrated strong overall performance (Accuracy: 0.74, Precision: 0.81, F1: 0.75), yet faced challenges with more nuanced relational dynamics.The findings highlight the potential of LLMs to provide scalable, automated feedback on therapist skills, demonstrating the feasibility of using digital tools to enhance psychotherapy effectiveness.

Norge har gjort betydelige fremskritt innen implementering av kunstig intelligens (AI) i radiologi. Basert på erfaringer fra storskala implementeringer ved flere sykehus i Helse Sør-Øst, har vi anskaffet tre AI-plattformer som gjør de fleste CE-merkede AI-løsninger innen radiologi tilgjengelige for hele den norske spesialisthelsetjenesten. Dette opplegget beskriver de praktiske implikasjonene og hvordan sykehusene samarbeider om validering av AI-løsningene.

Computer science and psychology are poised to revolutionize mental health care. This fusion of the two disciplines is transforming not only the accessibility of care but also its quality, benefiting both those seeking treatment and the professionals delivering it. The discoveries made at this intersection promise to address global challenges in mental health by improving efficiency, personalization, and scalability

Secure access to health data is vital for high-quality care and innovation in the Norwegian healthcare sector. Oslo Municipality and its partners are collaborating to develop a common API based on HL7 FHIR, creating a foundation for EHR system interoperability. This effort draws on practical experience and aligns with international initiatives like the European electronic health record exchange format (EEHRxF)

Emerging adulthood is a time of infinite possibility — and profound vulnerability. As young people navigate the turbulent waters between adolescence and adulthood, they face a shifting landscape of identity, purpose, career and independence. Today, many emerging adults are grappling with unprecedented levels of anxiety, loneliness, depression and self-doubt.How does "growing up" in an era of constant change affect our youth? And how can we—educators, mental health professionals, policymakers, community leaders, innovators, and investors—ensure that young people can thrive? This panel discussion invites you to explore these questions and rethink how we approach mental health for the next generation. 

Annual presentation of how the HL7 FHIR standard has been applied in the Nordics.