University of Potsdam

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 338 Zit.

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs)

Joschka Haltaufderheide, Robert Ranisch

2024 · 244 Zit.

Explainable AI under contract and tort law: legal incentives and technical challenges

Philipp Hacker, Ralf Krestel, Stefan Grundmann et al.

2020 · 164 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 154 Zit.

The European Commission’s Proposal for an Artificial Intelligence Act—A Critical Assessment by Members of the Robotics and AI Law Society (RAILS)

Martin Ebers, Veronica R. S. Hoch, Frank Rosenkranz et al.

2021 · 130 Zit.

A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare

Jana Fehr, Brian Citro, Rohit Malpani et al.

2024 · 82 Zit.

Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study

Lars Masanneck, Linea Schmidt, Antonia Seifert et al.

2024 · 71 Zit.

Leveraging the Potential of Large Language Models in Education Through Playful and Game-Based Learning

Stefan E. Huber, Kristian Kiili, Steve Nebel et al.

2024 · 54 Zit.

Artificial Intelligence in Reproductive Medicine – An Ethical Perspective

Vasilija Rolfes, Uta Bittner, Helene Gerhards et al.

2023 · 47 Zit.

“ChatGPT, Can You Help Me Save My Child’s Life?” - Diagnostic Accuracy and Supportive Capabilities to Lay Rescuers by ChatGPT in Prehospital Basic Life Support and Paediatric Advanced Life Support Cases – An In-silico Analysis

Stefan Bushuven, Michael Bentele, Stefanie Bentele et al.

2023 · 39 Zit.

Use of artificial intelligence in sports medicine: a report of 5 fictional cases

Lia Rigamonti, Katharina Estel, Tobias Gehlen et al.

2021 · 24 Zit.

A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

Elena Williams, Manuel Kienast, Evelyn Medawar et al.

2023 · 22 Zit.

Explainable AI under Contract and Tort Law: Legal Incentives and Technical Challenges

Philipp Hacker, Ralf Krestel, Stefan Grundmann et al.

2020 · 22 Zit.

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data

Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz et al.

2022 · 22 Zit.

Piloting a Survey-Based Assessment of Transparency and Trustworthiness with Three Medical AI Tools

Jana Fehr, Giovanna Jaramillo-Gutierrez, Luis Oala et al.

2022 · 20 Zit.