Hasso Plattner Institute

Time to reality check the promises of machine learning-powered precision medicine

Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.

2020 · 233 Zit.

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

Philipp Hacker, Ralf Krestel, Stefan Grundmann et al.

2020 · 164 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 · 83 Zit.

Mapping the regulatory landscape for artificial intelligence in health within the European Union

Jelena Schmidt, Nienke Schutte, Stefan Buttigieg et al.

2024 · 76 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 · 73 Zit.

Machine Learning for Health: Algorithm Auditing & Quality Control

Luis Oala, Andrew G. Murchison, Pradeep Balachandran et al.

2021 · 45 Zit.

A general framework for governing marketed AI/ML medical devices

Boris Babic, I. Glenn Cohen, Ariel Dora Stern et al.

2025 · 23 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.

AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

Ariel Dora Stern, Avi Goldfarb, Timo Minssen et al.

2022 · 17 Zit.

The unmet promise of trustworthy AI in healthcare: why we fail at clinical translation

Valerie Burger, Julia Amann, Cathrine K. T. Bui et al.

2024 · 17 Zit.

CAD4TB software updates: different triaging thresholds require caution by users and regulation by authorities

Jana Fehr, Resign Gunda, Mark J. Siedner et al.

2023 · 15 Zit.

Measuring fairness preferences is important for artificial intelligence in health care

Anatol‐Fiete Näher, Ivar Krumpal, Esther-Maria Antão et al.

2024 · 13 Zit.