ETH Zurich

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

Julia Amann, Alessandro Blasimme, Effy Vayena et al.

2020 · 1.745 Zit.

Machine learning in medicine: Addressing ethical challenges

Effy Vayena, Alessandro Blasimme, I. Glenn Cohen

2018 · 787 Zit.

Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

Lorainne Tudor Car, Dhakshenya Ardhithy Dhinagaran, Bhone Myint Kyaw et al.

2020 · 528 Zit.

Advances, challenges and opportunities in creating data for trustworthy AI

Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho et al.

2022 · 497 Zit.

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Rudi Balling, Niko Beerenwinkel et al.

2018 · 440 Zit.

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.

2018 · 428 Zit.

Machine learning for real-time prediction of complications in critical care: a retrospective study

Alexander Meyer, Dina Zverinski, Boris Pfahringer et al.

2018 · 354 Zit.

Considerations for ethics review of big data health research: A scoping review

Marcello Ienca, Agata Ferretti, Samia Hurst et al.

2018 · 250 Zit.

Artificial Intelligence-Based Conversational Agents for Chronic Conditions: Systematic Literature Review

Theresa Schachner, Roman Keller, Florian von Wangenheim

2020 · 248 Zit.

Mitigating bias in machine learning for medicine

Kerstin Noëlle Vokinger, Stefan Feuerriegel, Aaron S. Kesselheim

2021 · 240 Zit.

In AI We Trust Incrementally: a Multi-layer Model of Trust to Analyze Human-Artificial Intelligence Interactions

Andrea Ferrario, Michele Loi, Eleonora Viganò

2019 · 214 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.

Ethical concerns with the use of intelligent assistive technology: findings from a qualitative study with professional stakeholders

Tenzin Wangmo, Mirjam Lipps, Reto W. Kressig et al.

2019 · 195 Zit.

The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models

Timo Minssen, Effy Vayena, I. Glenn Cohen

2023 · 165 Zit.

What we talk about when we talk about trust: Theory of trust for AI in healthcare

Felix Gille, Anna Jobin, Marcello Ienca

2020 · 159 Zit.