Humboldt-Universität zu Berlin
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Bias in AI-based models for medical applications: challenges and mitigation strategies
Mirja Mittermaier, Marium Raza, Joseph C. Kvedar
2023 · 306 Zit.
Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
Lisa C. Adams, Daniel Truhn, Felix Busch et al.
2023 · 301 Zit.
Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations
Michael P. Recht, Marc Dewey, Keith Dreyer et al.
2020 · 229 Zit.
Explainable AI under contract and tort law: legal incentives and technical challenges
Philipp Hacker, Ralf Krestel, Stefan Grundmann et al.
2020 · 164 Zit.
Fairness in credit scoring: Assessment, implementation and profit implications
Nikita Kozodoi, Johannes Jacob, Stefan Lessmann
2021 · 141 Zit.
Current applications and challenges in large language models for patient care: a systematic review
Felix Busch, Lena Hoffmann, Christopher Rueger et al.
2025 · 141 Zit.
The explainability paradox: Challenges for xAI in digital pathology
Theodore Evans, Carl Orge Retzlaff, Christian Geißler et al.
2022 · 127 Zit.
Avoidance of Allogeneic Blood Transfusions by Treatment With Epoetin Beta (Recombinant Human Erythropoietin) in Patients Undergoing Open-Heart Surgery
Olaf Sowade, H Warnke, P. Scigalla et al.
1997 · 124 Zit.
ChatGPT in medical school: how successful is AI in progress testing?
Hendrik Friederichs, Wolf Jonas Friederichs, Maren März
2023 · 123 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 · 78 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.