University of Pennsylvania
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
Ziad Obermeyer, Ezekiel Emanuel
2016 · 3.316 Zit.
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
Micah Sheller, Brandon Edwards, G. Anthony Reina et al.
2020 · 1.253 Zit.
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers
John Mongan, Linda Moy, Charles E. Kahn
2020 · 1.148 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.105 Zit.
Addressing Bias in Artificial Intelligence in Health Care
Ravi B. Parikh, Stephanie Teeple, Amol S. Navathe
2019 · 733 Zit.
Adapting to Artificial Intelligence
Saurabh Kumar Jha, Eric J. Topol
2016 · 604 Zit.
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah Sheller, G. Anthony Reina, Brandon Edwards et al.
2019 · 517 Zit.
ChatGPT and large language models in academia: opportunities and challenges
Jesse G. Meyer, Ryan J. Urbanowicz, Patrick Martin et al.
2023 · 506 Zit.
Transparency and reproducibility in artificial intelligence
Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.
2020 · 469 Zit.
Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu et al.
2024 · 446 Zit.
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai, Robin Wang, Zeng Xiong et al.
2020 · 399 Zit.
The Lancet Commission on diagnostics: transforming access to diagnostics
K A Fleming, Susan Horton, Michael L. Wilson et al.
2021 · 393 Zit.
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.
2023 · 376 Zit.
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Danton Char, Michael D. Abràmoff, Chris Feudtner
2020 · 373 Zit.
Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement
J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.
2019 · 341 Zit.