Berlin Institute of Health at Charité - Universitätsmedizin Berlin

The Hong Kong Principles for assessing researchers: Fostering research integrity

David Moher, L.M. Bouter, Sabine Kleinert et al.

2020 · 506 Zit.

Why digital medicine depends on interoperability

Moritz Lehne, Julian Saß, Andrea Essenwanger et al.

2019 · 456 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 427 Zit.

Bias in AI-based models for medical applications: challenges and mitigation strategies

Mirja Mittermaier, Marium Raza, Joseph C. Kvedar

2023 · 306 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 · 190 Zit.

You Can’t Have AI Both Ways: Balancing Health Data Privacy and Access Fairly

Marieke Bak, Vince I. Madai, Marie-Christine Fritzsche et al.

2022 · 105 Zit.

From Bit to Bedside: A Practical Framework for Artificial Intelligence Product Development in Healthcare

David Higgins, Vince I. Madai

2020 · 101 Zit.

Benchmark evaluation of DeepSeek large language models in clinical decision-making

Sarah Sandmann, Stefan Hegselmann, Michael Fujarski et al.

2025 · 98 Zit.

Ethical considerations on artificial intelligence in dentistry: A framework and checklist

Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia et al.

2023 · 98 Zit.

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke

Julia Amann, Effy Vayena, Kelly E. Ormond et al.

2023 · 85 Zit.

Global healthcare fairness: We should be sharing more, not less, data

Kenneth P. Seastedt, Patrick Schwab, Zach O’Brien et al.

2022 · 84 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 · 82 Zit.

Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education

Felix Busch, Lisa C. Adams, Keno K. Bressem

2023 · 75 Zit.

Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations

Sarah Friedrich, Stefan Groß, Inke R. König et al.

2021 · 66 Zit.

Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier

Roberto V. Zicari, Sheraz Ahmed, Julia Amann et al.

2021 · 64 Zit.