University of Regensburg

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

Susanne Gaube, Harini Suresh, Martina Raue et al.

2021 · 393 Zit.

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

Susanne Gaube, Harini Suresh, Martina Raue et al.

2023 · 83 Zit.

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

Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.

2023 · 77 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 · 62 Zit.

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

Emily Theophilou, Cansu Koyutürk, Mona Yavari et al.

2023 · 46 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 · 37 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 · 28 Zit.

The Prognostic Value of Anaemia at Different Treatment Times in Patients with Locally Advanced Head and Neck Cancer Treated with Surgery and Postoperative Radiotherapy

B. Dietl, Jörg Marienhagen, Christof Schäfer et al.

2007 · 23 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 · 21 Zit.

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

Bernd Blobel, Pekka Ruotsalainen, Mathias Brochhausen et al.

2020 · 21 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 · 18 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.

Modification and Validation of the System Causability Scale Using AI-Based Therapeutic Recommendations for Urological Cancer Patients: A Basis for the Development of a Prospective Comparative Study

Emily Rinderknecht, Dominik von Winning, Anton Kravchuk et al.

2024 · 8 Zit.