Mallinckrodt (United States)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Mathieu Hatt, Aron K. Krizsan, Arman Rahmim et al.
2022 · 142 Zit.
Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning
Mickaël Tordjman, Zelong Liu, Murat Yüce et al.
2025 · 117 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler Bradshaw, Irène Buvat et al.
2022 · 102 Zit.
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Tyler Bradshaw, Ronald Boellaard, Joyita Dutta et al.
2021 · 90 Zit.
Clinical decisions using AI must consider patient values
Jonathan Birch, Kathleen Creel, Abhinav K. Jha et al.
2022 · 79 Zit.
Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
Babak Saboury, Tyler Bradshaw, Ronald Boellaard et al.
2022 · 61 Zit.
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation
Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.
2023 · 57 Zit.
Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance
Jonathan Herington, Melissa D. McCradden, Kathleen Creel et al.
2023 · 50 Zit.
Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training
Gerard K. Nguyen, Anup S. Shetty
2018 · 32 Zit.
Improving child health through Big Data and data science
Zachary A. Vesoulis, Ameena Husain, F. Sessions Cole
2022 · 27 Zit.
Impact of ChatGPT and Large Language Models on Radiology Education: Association of Academic Radiology—Radiology Research Alliance Task Force White Paper
David H. Ballard, Alexander Antigua-Made, E. Barré et al.
2024 · 18 Zit.
Results of the 2019 Survey of the American Alliance of Academic Chief Residents in Radiology
David H. Ballard, Danielle Summers, Mark J. Hoegger et al.
2020 · 18 Zit.
Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation
Lev Barinov, Ajit Jairaj, William D. Middleton et al.
2023 · 17 Zit.
Automated Classification of Radiology Reports to Facilitate Retrospective Study in Radiology
Yihua Zhou, Per K. Amundson, Yu Fang et al.
2014 · 17 Zit.
Notification System for Overdue Radiology Recommendations Improves Rates of Follow-Up and Diagnosis
Jaimee Mannix, Justine LaVoye, Michael Wasserman et al.
2021 · 11 Zit.