Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute

Artificial Intelligence in Dentistry: Chances and Challenges

Falk Schwendicke, Wojciech Samek, Joachim Krois

2020 · 1.096 Zit.

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

Luca Longo, Mario Brčić, Federico Cabitza et al.

2024 · 391 Zit.

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

Charlene Ronquillo, Laura‐Maria Peltonen, Lisiane Pruinelli et al.

2021 · 333 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 218 Zit.

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al.

2021 · 203 Zit.

Evaluation framework to guide implementation of AI systems into healthcare settings

Sandeep Reddy, Wendy Rogers, Ville‐Petteri Mäkinen et al.

2021 · 187 Zit.

Artificial intelligence for clinical decision support for monitoring patients in cardiovascular ICUs: A systematic review

Sobhan Moazemi, Sahar Vahdati, Jason Li et al.

2023 · 70 Zit.

WHO and ITU establish benchmarking process for artificial intelligence in health

Thomas Wiegand, Ramesh Krishnamurthy, Monique M. Kuglitsch et al.

2019 · 68 Zit.

Towards Trustworthy AI in Dentistry

Jackie Ma, Lisa Schneider, Sebastian Lapuschkin et al.

2022 · 50 Zit.

Federated Learning in Dentistry: Chances and Challenges

Roman Rischke, Lisa Schneider, K. Müller et al.

2022 · 49 Zit.

Machine Learning for Health: Algorithm Auditing & Quality Control

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

2021 · 45 Zit.

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images

Lukas Calefice, Shengxiang Yang, Armaghan Moemeni et al.

2021 · 42 Zit.

Explainability can foster trust in artificial intelligence in geoscience

Jesper Dramsch, Monique M. Kuglitsch, Miguel‐Ángel Fernández‐Torres et al.

2025 · 25 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.

Could transparent model cards with layered accessible information drive trust and safety in health AI?

Stephen Gilbert, Rasmus Adler, Taras Holoyad et al.

2025 · 18 Zit.