Universitätsklinikum Gießen und Marburg

Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4

Martin Krusche, Johanna Callhoff, Johannes Knitza et al.

2023 · 99 Zit.

Algorithm Change Protocols in the Regulation of Adaptive Machine Learning–Based Medical Devices

Stephen Gilbert, Matthew Fenech, Martin C. Hirsch et al.

2021 · 74 Zit.

Rare diseases 2030: how augmented AI will support diagnosis and treatment of rare diseases in the future

Martin C. Hirsch, Simon Ronicke, Martin Krusche et al.

2020 · 51 Zit.

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

Christoph Raphael Buhr, Harry A. Smith, Tilman Huppertz et al.

2023 · 41 Zit.

Economic considerations for the use of recombinant human bone morphogenetic protein‐2 in open tibial fractures in Europe: the German model

Volker Alt, Andreas Heißel

2006 · 32 Zit.

Diagnostic Accuracy of a Mobile AI-Based Symptom Checker and a Web-Based Self-Referral Tool in Rheumatology: Multicenter Randomized Controlled Trial

Johannes Knitza, Koray Taşçılar, Franziska Fuchs et al.

2024 · 16 Zit.

Proof-of-concept study of a small language model chatbot for breast cancer decision support – a transparent, source-controlled, explainable and data-secure approach

Sebastian Griewing, Fabian Lechner, Niklas Gremke et al.

2024 · 15 Zit.

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology

Jannik Sehring, Hildegard Dohmen, Carmen Selignow et al.

2023 · 14 Zit.

Urology consultants versus large language models: Potentials and hazards for medical advice in urology

Johanna Eckrich, Jörg Ellinger, Alexander Cox et al.

2024 · 14 Zit.

Vignette-based comparative analysis of ChatGPT and specialist treatment decisions for rheumatic patients: results of the Rheum2Guide study

Hannah Labinsky, Lea-Kristin Nagler, Martin Krusche et al.

2024 · 12 Zit.

Assessing unknown potential—quality and limitations of different large language models in the field of otorhinolaryngology

Christoph Raphael Buhr, Harry A. Smith, Tilman Huppertz et al.

2024 · 12 Zit.

Assessment of decision-making with locally run and web-based large language models versus human board recommendations in otorhinolaryngology, head and neck surgery

Christoph Raphael Buhr, Benjamin Philipp Ernst, Andrew Blaikie et al.

2025 · 11 Zit.

Artificial intelligence in rheumatology: status quo and quo vadis—results of a national survey among German rheumatologists

Marie‐Therese Holzer, Anna Meinecke, Felix Müller et al.

2024 · 10 Zit.

Chasing sleep physicians: ChatGPT-4o on the interpretation of polysomnographic results

Christopher Seifen, Tilman Huppertz, Haralampos Gouveris et al.

2024 · 9 Zit.

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study

Zoe S. Oftring, Kim Deutsch, Daniel Tolks et al.

2025 · 6 Zit.