Heimo Müller

Measuring the Quality of Explanations: The System Causability Scale (SCS)

2020 · 364 Zit. · KI - Künstliche Intelligenz

The explainability paradox: Challenges for xAI in digital pathology

2022 · 127 Zit. · Future Generation Computer Systems

The Ten Commandments of Ethical Medical AI

2021 · 97 Zit. · Computer

Toward Human–AI Interfaces to Support Explainability and Causability in Medical AI

2021 · 87 Zit. · Computer

Ethical ChatGPT: Concerns, Challenges, and Commandments

2024 · 79 Zit. · Electronics

Explainability and causability in digital pathology

2023 · 78 Zit. · The Journal of Pathology Clinical Research

Explainability and causability for artificial intelligence-supported medical image analysis in the context of the European In Vitro Diagnostic Regulation

2022 · 77 Zit. · New Biotechnology

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology

2017 · 69 Zit. · arXiv (Cornell University)

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

2022 · 61 Zit. · Modern Pathology

Fine-tuning language model embeddings to reveal domain knowledge: An explainable artificial intelligence perspective on medical decision making

2024 · 33 Zit. · Engineering Applications of Artificial Intelligence

Ethical ChatGPT: Concerns, Challenges, and Commandments

2023 · 32 Zit. · arXiv (Cornell University)

Privacy risks of whole-slide image sharing in digital pathology

2023 · 32 Zit. · Nature Communications

A Literature Review on Ethics for AI in Biomedical Research and Biobanking

2022 · 30 Zit. · Yearbook of Medical Informatics

The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach

2023 · 29 Zit. · Journal of Medical Internet Research

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

2019 · 12 Zit. · PubMed