University of Tübingen

The Ethics of AI Ethics: An Evaluation of Guidelines

Thilo Hagendorff

2020 · 1.575 Zit.

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 821 Zit.

On the ethics of algorithmic decision-making in healthcare

Thomas Grote, Philipp Berens

2019 · 508 Zit.

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Rudi Balling, Niko Beerenwinkel et al.

2018 · 440 Zit.

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke et al.

2020 · 358 Zit.

ChatGPT in education: global reactions to AI innovations

Tim Fütterer, Christian Fischer, Anastasiia Alekseeva et al.

2023 · 215 Zit.

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems

Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.

2022 · 200 Zit.

Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots

Julia-Astrid Moldt, Teresa Festl‐Wietek, Amir Madany Mamlouk et al.

2023 · 174 Zit.

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

Friederike Holderried, Christian Stegemann–Philipps, Lea Herschbach et al.

2024 · 118 Zit.

Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning

Mickaël Tordjman, Zelong Liu, Murat Yüce et al.

2025 · 117 Zit.

Leveraging open hardware to alleviate the burden of COVID-19 on global health systems

André Maia Chagas, Jenny Molloy, Lucia L. Prieto-Godino et al.

2020 · 97 Zit.

A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

Friederike Holderried, Christian Stegemann–Philipps, Anne Herrmann‐Werner et al.

2024 · 95 Zit.

Assessing ChatGPT’s Mastery of Bloom’s Taxonomy Using Psychosomatic Medicine Exam Questions: Mixed-Methods Study

Anne Herrmann‐Werner, Teresa Festl‐Wietek, Friederike Holderried et al.

2024 · 87 Zit.

Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?

Tamim Alsuliman, Dania Humaidan, Layth Sliman

2020 · 82 Zit.

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

Elmar Kotter, Tugba Akinci D’Antonoli, Renato Cuocolo et al.

2025 · 72 Zit.