Professor of Healthcare · Professor of Computer Science · Vice Dean for Research
University of Maribor, Faculty of Health Sciences · University of Maribor, Faculty of Electrical Engineering and Computer Science · Honorary Fellow, Usher Institute, University of Edinburgh
Gregor Štiglic is a senior academic and research leader working at the intersection of artificial intelligence, health sciences, and digital health. His work spans explainable AI, predictive modelling, generative AI, clinical decision support, nursing informatics, and the translation of advanced analytics into healthcare practice and education.
Professor Gregor Štiglic serves as Professor at the University of Maribor Faculty of Health Sciences and the Faculty of Electrical Engineering and Computer Science. He is Vice Dean for Research, Head of the Research Institute, and Chair of the Scientific Research Committee at the University of Maribor Faculty of Health Sciences, and serves as Chair of the University of Maribor Programme Core for Data Science and Artificial Intelligence in Biomedicine, connecting laboratories across multiple faculties.
His research and leadership portfolio bridges computer science and health sciences, with sustained emphasis on artificial intelligence in healthcare, explainable AI, machine learning, large language models, predictive modelling, recommender systems, decision support, nursing informatics, diabetes prevention, multimorbidity, preventive care, health literacy, and digital health education.
Gregor Štiglic coordinates research activity across multiple research groups at the Faculty of Health Sciences and contributes to university-wide research development through leadership roles in strategy, governance, and interdisciplinary programme building.
He has served as Vice Dean for Research at the University of Maribor Faculty of Health Sciences since 2014 and is a member of the University of Maribor Commission for Scientific Research.
Appointed by the Rector to lead coordinated research initiatives and large-scale proposal development across laboratories and faculties of the University of Maribor.
He has held visiting research or teaching roles at Temple University, Stanford University, the University of Edinburgh, the University of Sydney, and the National University of Singapore, while sustaining collaborations with internationally recognized leaders in AI and healthcare informatics.
In 2025 he was elected Co-Chair of the AIME Society for the 2025–2029 term. The role follows prior service as AIME Board member and reflects his long-term involvement in shaping the field through conferences, workshops, and scientific networks.
His work combines methodological development in artificial intelligence with practical application in healthcare, public health, nursing, and health professions education.
The publications below highlight internationally visible work spanning global health AI, reporting guidelines, explainability, predictive modelling, and the integration of AI into nursing and healthcare education.
Song, P., Jiang, D., Zhou, J., Zhu, Y., Manaf, R. A., Bojude, D. A., Štiglic, G., ... & Rudan, I. Research priorities for data science and artificial intelligence in global health: an international consensus exercise.
Major international consensus work in global health AI.
CHART Collaborative, Huo, B., Collins, G. S., Chartash, D., Thirunavukarasu, A. J., Flanagin, A., ..., Štiglic, G., & Guyatt, G. H. Reporting guideline for chatbot health advice studies: the CHART statement.
Field-shaping reporting guidance with simultaneous publication across multiple journals.
Cilar Budler, L., & Štiglic, G. Interpretability of machine learning-based prediction models in healthcare.
A highly visible synthesis on interpretability and explainability in healthcare AI.
Guan, S., Hui, V., Štiglic, G., Constantino, R. E., Lee, Y. J., & Wong, A. K. C. Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study.
Representative international work in predictive modelling and AI for vulnerable populations.
Selected recent outputs include work on prompt engineering in nursing education, the effects of generative AI in nursing education, AI-supported formulation of PICOT questions and search strategies, and new uses of generative models for cardiopulmonary resuscitation content.
Demonstrates a sustained bridge between advanced AI methods and nursing practice and education.
Svenšek, A., Lorber, M., Klemenc-Ketiš, Z., Gosak, L., Muršec, D., & Štiglic, G. Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial.
Cilar Budler, L., & Štiglic, G. Ethical approval and informed consent in mental health research: a scoping review.
Fijačko, N., Štiglic, G., Topaz, M., & Greif, R. Using OpenAI’s Text-to-video Model Sora to Generate Cardiopulmonary Resuscitation Content.
Gosak, L., Štiglic, G., Pruinelli, L., & Vrbnjak, D. PICOT questions and search strategies formulation: A novel approach using artificial-intelligence automation.
O’Connor, S., Peltonen, L.-M., Topaz, M., Chen, L.-Y. A., Michalowski, M., Ronquillo, C., & Štiglic, G. Prompt engineering when using generative AI in nursing education.
Topaz, M., Peltonen, L.-M., Michalowski, M., Štiglic, G., Ronquillo, C., et al. The ChatGPT Effect: Nursing education and generative artificial intelligence.
Additional recent outputs include studies in biomedical informatics, explainability, scientific reporting, resuscitation science, and healthcare technology published across internationally recognized journals.
Professor Štiglic has acquired and led 28 projects with a total value exceeding €2.47 million for the University of Maribor Faculty of Health Sciences share, spanning Horizon Europe, EU4Health, Erasmus+, national calls, bilateral research, and translational collaborations.
UM share: €149,281.25
Generative AI for evidence-based treatment in a large academia-industry consortium.
UM share: €220,750.00
Research on healthy longevity and AI-driven approaches.
UM share: €825,414.99
Large institutional innovation project in higher education and technology-enhanced learning.
UM share: €295,354.24
International project focused on conversational explainable AI in healthcare.
Combined UM share across listed projects exceeds €390,000.
Cross-border work in digital skills, oncology, health literacy, and healthcare innovation.
Includes work on diabetes prevention, multimorbidity, health assessment in older adults, and interpretable healthcare algorithms.
Extensive review and evaluation experience across national and European funding environments.
Ranked among the top 2% of researchers worldwide.
Elected by board members for the 2025–2029 term.
Faculty of Health Sciences, University of Maribor.
University of Maribor.
Awards and recognitions for pedagogical and research achievements at the University of Maribor.
University of Maribor
Faculty of Health Sciences
Faculty of Electrical Engineering and Computer Science
Email: gregor.stiglic@um.si
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Research group:
AI4Health
Additional affiliation:
Honorary Fellow, Usher Institute, University of Edinburgh