Freie Universität Berlin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities
Christian Meske, Enrico Bunde, Johannes Schneider et al.
2020 · 354 Zit.
Bias in AI-based models for medical applications: challenges and mitigation strategies
Mirja Mittermaier, Marium Raza, Joseph C. Kvedar
2023 · 308 Zit.
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review
Kathrin Seibert, Dominik Domhoff, Dominik Bruch et al.
2021 · 260 Zit.
Current applications and challenges in large language models for patient care: a systematic review
Felix Busch, Lena Hoffmann, Christopher Rueger et al.
2025 · 144 Zit.
The explainability paradox: Challenges for xAI in digital pathology
Theodore Evans, Carl Orge Retzlaff, Christian Geißler et al.
2022 · 127 Zit.
Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy
Jesús Gómez Rossi, Natalia Rojas-Perilla, Joachim Krois et al.
2022 · 116 Zit.
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl et al.
2023 · 104 Zit.
Undergraduate Medical Competencies in Digital Health and Curricular Module Development: Mixed Methods Study
Akira-Sebastian Poncette, Daniel Leon Glauert, Lina Mosch et al.
2020 · 104 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.
Explainability and causability in digital pathology
Markus Plass, Michaela Kargl, Tim‐Rasmus Kiehl et al.
2023 · 79 Zit.
Machine Learning in Dentistry: A Scoping Review
Lubaina T. Arsiwala-Scheppach, Akhilanand Chaurasia, Anne Müller et al.
2023 · 76 Zit.
Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education
Felix Busch, Lisa C. Adams, Keno K. Bressem
2023 · 75 Zit.
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports
Keno K. Bressem, Lisa C. Adams, Robert Gaudin et al.
2020 · 69 Zit.
A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports
Daniel Truhn, Christian David Weber, Benedikt J. Braun et al.
2023 · 65 Zit.
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen et al.
2022 · 61 Zit.