| Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain F Dennstädt, J Zink, PM Putora, J Hastings, N Cihoric Systematic Reviews 13 (1), 158, 2024 | 22 | 2024 |
| Exploring capabilities of large language models such as ChatGPT in radiation oncology F Dennstädt, J Hastings, PM Putora, E Vu, GF Fischer, K Süveg, M Glatzer, ... Advances in radiation oncology 9 (3), 101400, 2024 | 21 | 2024 |
| Creation of clinical algorithms for decision-making in oncology: an example with dose prescription in radiation oncology F Dennstädt, T Treffers, T Iseli, C Panje, PM Putora BMC medical informatics and decision making 21, 1-13, 2021 | 20 | 2021 |
| Inhibition of acid sphingomyelinase increases regulatory T cells in humans T Wiese, F Dennstädt, C Hollmann, S Stonawski, C Wurst, J Fink, E Gorte, ... Brain Communications 3 (2), fcab020, 2021 | 15 | 2021 |
| Translational approaches targeting ceramide generation from sphingomyelin in T cells to modulate immunity in humans C Hollmann, T Wiese, F Dennstädt, J Fink, J Schneider-Schaulies, ... Frontiers in Immunology 10, 2363, 2019 | 14 | 2019 |
| Parameters of the Lyman model for calculation of normal-tissue complication probability: A systematic literature review F Dennstädt, M Medová, PM Putora, M Glatzer International Journal of Radiation Oncology* Biology* Physics 115 (3), 696-706, 2023 | 7 | 2023 |
| Metastatic versus localized disease as inclusion criteria that can be automatically extracted from randomized controlled trials using natural language processing P Windisch, F Dennstädt, C Koechli, R Förster, C Schröder, DM Aebersold, ... JCO Clinical Cancer Informatics 8, e2400150, 2024 | 2 | 2024 |
| Stage I and II nonsmall cell lung cancer treatment options G Hardavella, DE Magouliotis, R Chalela, A Januszewski, F Dennstaedt, ... Breathe 20 (2), 2024 | 2 | 2024 |
| The Impact of Temperature on Extracting Information From Clinical Trial Publications Using Large Language Models P Windisch, F Dennstädt, C Koechli, C Schröder, DM Aebersold, R Förster, ... Cureus 16 (12), e75748, 2024 | 1 | 2024 |
| Predicting the sample size of randomized controlled trials using natural language processing P Windisch, F Dennstädt, C Koechli, R Förster, C Schröder, DM Aebersold, ... JAMIA open 7 (4), ooae116, 2024 | 1 | 2024 |
| Patient autonomy and shared decision‐making in the context of clinical trial participation F Dennstädt, PM Putora, T Iseli, T Treffers, C Panje, GF Fischer European journal of clinical investigation 54 (11), e14291, 2024 | 1 | 2024 |
| A pipeline for the automatic identification of randomized controlled oncology trials and assignment of tumor entities using natural language processing P Windisch, F Dennstädt, C Koechli, R Förster, C Schröder, DM Aebersold, ... medRxiv, 2024.07. 01.24309767, 2024 | 1 | 2024 |
| (Common) Data Elements in Radiation Oncology: A Systematic Literature Review F Dennstädt, PM Putora, N Cihoric JCO Clinical Cancer Informatics 7, e2300008, 2023 | 1 | 2023 |
| Safety and usability of oncology information systems–a systematic review N Cihoric, E Riggenbach, PM Putora, F Dennstädt Frontiers in oncology 14, 1231757, 2024 | | 2024 |
| In Reply to Daungsupawong and Wiwanitkit F Dennstädt, J Hastings, PM Putora, E Vu, G Fischer, K Süveg, M Glatzer, ... Advances in Radiation Oncology 9 (6), 2024 | | 2024 |
| Extraction of interoperable data from healthcare documents by identifying Common Data Elements: an analysis of Radiation Therapy Planning CT Physician Order Entry records F Dennstädt, PM Putora, M Heuser, E Vlaskou Badra, BG Baumert, ... Oncology 102 (4), 327-336, 2024 | | 2024 |
| Reasoning Models for Text Mining in Oncology-a Comparison Between o1 Preview and GPT-4o P Windisch, F Dennstaedt, C Schroeder, DR Zwahlen, R Foerster medRxiv, 2024.12. 06.24318592, 2024 | | 2024 |
| Application of a general LLM-based classification system to retrieve information about oncological trials F Dennstaedt, P Windisch, I Filchenko, J Zink, PM Putora, A Shaheen, ... medRxiv, 2024.12. 03.24318390, 2024 | | 2024 |
| Metastatic vs. Localized Disease As Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing P Windisch, F Dennstaedt, C Koechli, R Foerster, C Schroeder, ... medRxiv, 2024.06. 17.24309020, 2024 | | 2024 |
| Extracting the Sample Size From Randomized Controlled Trials in Explainable Fashion Using Natural Language Processing P Windisch, F Dennstaedt, C Koechli, R Foerster, C Schroeder, ... medRxiv, 2024.07. 09.24310155, 2024 | | 2024 |
