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The Lancet. Digital Health|August 23, 2024
A future role for health applications of large language models depends on regulators enforcing safety standardsOscar Freyer, Isabella Catharina Wiest, Jakob Nikolas Kather, et al.
Pharmacopsychiatry|March 19, 2026
Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental HealthFalk Gerrik Verhees, Isabella Catharina Wiest, Jakob Nikolas Kather, et al.
Nature Reviews. Gastroenterology & Hepatology|August 22, 2025
Large language models for clinical decision support in gastroenterology and hepatologyIsabella Catharina Wiest, Mamatha Bhat, Jan Clusmann, et al.
The British Journal of Psychiatry : the Journal of Mental Science|November 5, 2024
Detection of suicidality from medical text using privacy-preserving large language modelsIsabella Catharina Wiest, Falk Gerrik Verhees, Dyke Ferber, et al.
Npj Mental Health Research|June 25, 2026
clickBrick prompt engineering: optimizing large language model performance in clinical psychiatryFalk Gerrik Verhees, Fabian Huth, Vincent Meyer, et al.
Medrxiv : the Preprint Server for Health Sciences|September 16, 2024
LLM-AIx: An open source pipeline for Information Extraction from unstructured medical text based on privacy preserving Large Language ModelsIsabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
NPJ Precision Oncology|September 17, 2025
A software pipeline for medical information extraction with large language models, open source and suitable for oncologyIsabella Catharina Wiest, Fabian Wolf, Marie-Elisabeth Leßmann, et al.
NPJ Digital Medicine|September 20, 2024
Privacy-preserving large language models for structured medical information retrievalIsabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Combining Clinician Expertise with Prompt Engineering enhances Small Language Models Reliability for Cancer Entity Recognition in Electronic Health RecordsFederica Corso, Vittoria Peppoloni, Laura Mazzeo, et al.
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