Humboldt-Universität zu Berlin

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

Mirja Mittermaier, Marium Raza, Joseph C. Kvedar

2023 · 329 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 · 316 Zit.

Leveraging Large Language Models for Decision Support in Personalized Oncology

Manuela Benary, Xing David Wang, Max Schmidt et al.

2023 · 272 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

Michael P. Recht, Marc Dewey, Keith Dreyer et al.

2020 · 235 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 186 Zit.

Explainable AI under contract and tort law: legal incentives and technical challenges

Philipp Hacker, Ralf Krestel, Stefan Grundmann et al.

2020 · 169 Zit.

Fairness in credit scoring: Assessment, implementation and profit implications

Nikita Kozodoi, Johannes Jacob, Stefan Lessmann

2021 · 146 Zit.

The explainability paradox: Challenges for xAI in digital pathology

Theodore Evans, Carl Orge Retzlaff, Christian Geißler et al.

2022 · 134 Zit.

ChatGPT in medical school: how successful is AI in progress testing?

Hendrik Friederichs, Wolf Jonas Friederichs, Maren März

2023 · 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.

Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation

Malte L Schmieding, Marvin Kopka, Konrad Schmidt et al.

2022 · 109 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 · 105 Zit.

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

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

2022 · 87 Zit.

Explainability and causability in digital pathology

Markus Plass, Michaela Kargl, Tim‐Rasmus Kiehl et al.

2023 · 85 Zit.