University of Regensburg

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Rudi Balling, Niko Beerenwinkel et al.

2018 · 441 Zit.

Do as AI say: susceptibility in deployment of clinical decision-aids

Susanne Gaube, Harini Suresh, Martina Raue et al.

2021 · 423 Zit.

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 88 Zit.

An overview and a roadmap for artificial intelligence in hematology and oncology

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 82 Zit.

Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence

Diego M. López, Carolina Rico-Olarte, Bernd Blobel et al.

2022 · 66 Zit.

Learning to Prompt in the Classroom to Understand AI Limits: A Pilot Study

Emily Theophilou, Cansu Koyutürk, Mona Yavari et al.

2023 · 48 Zit.

Arthrosis diagnosis and treatment recommendations in clinical practice: an exploratory investigation with the generative AI model GPT-4

Stefano Pagano, Sabrina Holzapfel, Tobias Kappenschneider et al.

2023 · 41 Zit.

How does artificial intelligence master urological board examinations? A comparative analysis of different Large Language Models’ accuracy and reliability in the 2022 In-Service Assessment of the European Board of Urology

Lisa Kollitsch, Klaus Eredics, Martin Marszalek et al.

2024 · 30 Zit.

Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task

Julia Cecil, Eva Lermer, Matthias F. C. Hudecek et al.

2024 · 25 Zit.

Autonomous Systems and Artificial Intelligence in Healthcare Transformation to 5P Medicine – Ethical Challenges

Bernd Blobel, Pekka Ruotsalainen, Mathias Brochhausen et al.

2020 · 23 Zit.

Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

Pia Hummelsberger, T. Koch, Sabrina Rauh et al.

2023 · 20 Zit.

Transformed Health Ecosystems—Challenges for Security, Privacy, and Trust

Pekka Ruotsalainen, Bernd Blobel

2022 · 17 Zit.

Autonomous Systems and Artificial Intelligence – Hype or Prerequisite for P5 Medicine?

Bernd Blobel, Pekka Ruotsalainen, Mathias Brochhausen

2021 · 12 Zit.

Would Uro_Chat, a Newly Developed Generative Artificial Intelligence Large Language Model, Have Successfully Passed the In-Service Assessment Questions of the European Board of Urology in 2022?

Matthias May, Katharina Körner-Riffard, Martin Marszalek et al.

2023 · 9 Zit.

Prospectively investigating the impact of AI on shared decision-making in post kidney transplant care (PRIMA-AI): protocol for a longitudinal qualitative study among patients, their support persons and treating physicians at a tertiary care centre

Zeineb Sassi, Sascha Eickmann, Roland Roller et al.

2024 · 8 Zit.