SmallData Symposium 2024

Opportunities, challenges and risks of using artificial intelligence for evidence synthesis

URL:
https://ebm.bmj.com/content/30/6/381
Publication date:
2025/01/09
Authors:
Waldemar Siemens, Erik von Elm, Harald Binder, Daniel Böhringer, Angelika Eisele-Metzger, Gerald Gartlehner, Piet Hanegraaf, Maria-Inti Metzendorf, Jacob-Jan Mosselman, Artur Nowak, Riaz Qureshi, James Thomas, Siw Waffenschmidt, Valérie Labonté, Joerg J. Meerpohl
Journal:
BMJ Evidence-Based Medicine
Keywords: Artificial Neural Network: Transformers, Clinical Data, Foundation model: Large Language Model, In-Context Learning, Natural Language Processing, Prediction, Self-supervised Learning, Similarity, Supervised Learning, Tabular Data, Text Processing

Contact

Administrative Manager

Marc Schumacher

Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg