University of Florida Health
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence and Surgical Decision-making
Tyler J. Loftus, Patrick Tighe, Amanda C. Filiberto et al.
2019 · 522 Zit.
A study of generative large language model for medical research and healthcare
Peng Cheng, Xi Yang, Aokun Chen et al.
2023 · 335 Zit.
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review
Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo‐Moreno et al.
2020 · 305 Zit.
Algorithmic fairness in computational medicine
Jie Xu, Yunyu Xiao, Hui Wang et al.
2022 · 133 Zit.
Free Text Versus Structured Format: Information Transfer Efficiency of Radiology Reports
Chris L. Sistrom, Janice C. Honeyman‐Buck
2005 · 102 Zit.
Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues
Lorenzo Cobianchi, Juan M. Verde, Tyler J. Loftus et al.
2022 · 93 Zit.
Artificial intelligence-enabled decision support in nephrology
Tyler J. Loftus, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti et al.
2022 · 84 Zit.
A translational perspective towards clinical AI fairness
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong et al.
2023 · 65 Zit.
Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey
Lorenzo Cobianchi, Daniele Piccolo, Francesca Dal Mas et al.
2023 · 64 Zit.
Artificial Intelligence–enabled Decision Support in Surgery
Tyler J. Loftus, Maria S. Altieri, Jeremy A. Balch et al.
2023 · 56 Zit.
An Opinion on ChatGPT in Health Care—Written by Humans Only
Jens Kleesiek, Yonghui Wu, Gregor Štiglic et al.
2023 · 55 Zit.
The model student: GPT-4 performance on graduate biomedical science exams
Daniel Stribling, Yuxing Xia, Maha K Amer et al.
2024 · 50 Zit.
Uncertainty-aware deep learning in healthcare: A scoping review
Tyler J. Loftus, Benjamin Shickel, Matthew M. Ruppert et al.
2022 · 50 Zit.
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks
Benjamin Shickel, Tyler J. Loftus, Matthew M. Ruppert et al.
2023 · 44 Zit.
Intelligent, Autonomous Machines in Surgery
Tyler J. Loftus, Amanda C. Filiberto, Jeremy A. Balch et al.
2020 · 39 Zit.