Clara Wiebel, Veerle C. Eijsbroek, Vasudha Varadarajan, Katarina Kjell, H. Andrew Schwartz, Oscar Kjell (2026). Assessing the Need for Mental Health Support From Free-Text Responses: Development and Validation of Language-Based Assessments in Adults With Internalizing Symptoms. JMIR Mental Health, 13, e105460
Katarina Kjell is a licensed clinical psychologist and a PhD student in psychology at Lund University. She also works as an AI strategist at Region Skåne, bringing her research and clinical experience to how AI is used in health care.
Her research focuses on assessing mental health problems, such as depression and anxiety, through people’s own descriptions in natural language, and on what it takes to use AI safely and ethically in research and clinical practice – including compliance with AI regulations. She has co-authored work on language-based mental health assessments and the LEADING reporting guideline, and is one of the instructors of the Coursera specialization The Mental Health Clinician and AI.
In her non-academic time, she likes being with her family, gardening and flowers.
Interests
- Clinical psychology
- Mental health assessments
- AI in health care
- Safe and ethical AI
Publications
Marc Sparhuber, Veerle Eijsbroek, Katarina Kjell, Salvatore Giorgi, Oscar Kjell (2026). Evidence of Limited Biases in Probed Language-based Assessments. PsyArXiv
Damon Navandi, Veerle C. Eijsbroek, Clara Wiebel, Aaron Marker, Katarina Kjell, Marc L. Molendijk, Elizabeth C. Stade, Oscar N.E. Kjell (2026). Clinicians' practices and attitudes toward depression assessment: a cross-sectional survey study. BMC Psychology, 14, 1227
Adithya V. Ganesan, Vasudha Varadarajan, Yash Kumar Lal, Veerle C. Eijsbroek, Katarina Kjell, Oscar N.E. Kjell, Tanuja Dhanasekaran, Elizabeth C. Stade, Johannes C. Eichstaedt, Ryan L. Boyd, H. Andrew Schwartz, Lucie Flek (2026). Explaining GPTs' schema of depression: A machine behavior analysis. Journal of Psychopathology and Clinical Science
Veerle C. Eijsbroek, August Nilsson, Leon Ackermann, Zhuojun Gu, Clara Wiebel, Adithya V. Ganesan, Katarina Kjell, H. Andrew Schwartz, Oscar N.E. Kjell (2026). Multiple Methods for Visualizing Human Language: A Tutorial for Social and Behavioural Scientists. PsyArXiv
August H. Nilsson, Veerle C. Eijsbroek, Zhuojun Gu, Katarina Kjell, Salvatore Giorgi, Roman Kotov, Adithya V. Ganesan, H. Andrew Schwartz, Oscar N.E. Kjell (2026). The Language-Based Assessment Model (L-BAM) Library: Open Model Sharing for Independent Validation and Broader Applications. Advances in Methods and Practices in Psychological Science
Oskar Bång, Zhuojun Gu, August Nilsson, Veerle Eijsbroek, Clara Wiebel, Adithya V. Ganesan, Katarina Kjell, H. Andrew Schwartz, Oscar Kjell (2025). Language-Based Affect Assessments Capture Experiment-Induced Changes Beyond Rating Scales. PsyArXiv
Zhuojun Gu, Katarina Kjell, H. Andrew Schwartz, Oscar N.E. Kjell (2025). Natural Language Response Formats for Assessing Depression and Worry with Large Language Models: A Sequential Evaluation with Model Pre-registration. Comprehensive Psychiatry
Veerle C. Eijsbroek, Katarina Kjell, H. Andrew Schwartz, Jan R. Boehnke, Eiko I. Fried, Daniel N. Klein, Peik Gustafsson, Isabelle Augenstein, Patrick M.M. Bossuyt, Oscar N.E. Kjell (2025). The LEADING guideline: Reporting standards for expert panel, best-estimate diagnosis, and longitudinal expert all data (LEAD) methods. Comprehensive Psychiatry
Oscar N.E. Kjell, Katarina Kjell, H. Andrew Schwartz (2024). Beyond Rating Scales: With targeted evaluation, large language models are poised for psychological assessment. Psychiatry Research, 333, 115667
Oscar N. E. Kjell, Sverker Sikström, Katarina Kjell, H. Andrew Schwartz (2022). Natural language analyzed with AI‐based transformers predict traditional subjective well‐being measures approaching the theoretical upper limits in accuracy. Scientific Reports, 12(3918)
Katarina Kjell, Per Johnsson, Sverker Sikström (2021). Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and Worry. Frontiers in Psychology
Katarina Kjell, Karolina Löwgren, Anders Rasmussen (2018). A Longer Interstimulus Interval Yields Better Learning in Adults and Young Adolescents. Frontiers in Behavioral Neuroscience, 12(299)
Oscar N. E. Kjell, Katarina Kjell, Danilo Garcia, Sverker Sikström (2018). Semantic Measures: Using Natural Language Processing to Measure, Differentiate, and Describe Psychological Constructs. Psychological Methods