University of Florida
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 · 528 Zit.
Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy
Jane Southworth, Kati W. Migliaccio, Joe Glover et al.
2023 · 472 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.
2022 · 455 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
van der Laak J, Corrado GS, Allan R et al.
2022 · 390 Zit.
A study of generative large language model for medical research and healthcare
Peng Cheng, Xi Yang, Aokun Chen et al.
2023 · 348 Zit.
Accessing Artificial Intelligence for Clinical Decision-Making
Chris Giordano, Meghan Brennan, Basma Mohamed et al.
2021 · 288 Zit.
Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information
Skyler B. Johnson, Andy J. King, Echo L. Warner et al.
2023 · 285 Zit.
Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.
2020 · 236 Zit.
Improved Trust in Human-Robot Collaboration With ChatGPT
Yang Ye, Hengxu You, Jing Du
2023 · 187 Zit.
A Call to Address AI “Hallucinations” and How Healthcare Professionals Can Mitigate Their Risks
Rami Hatem, Brianna Simmons, Joseph Thornton
2023 · 144 Zit.
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
Benjamin Shickel, Tyler J. Loftus, Lasith Adhikari et al.
2019 · 143 Zit.
Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform
Yuanfang Ren, Tyler J. Loftus, Shounak Datta et al.
2022 · 117 Zit.
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Farhad Maleki, Katie Ovens, Rajiv Gupta et al.
2022 · 117 Zit.
Transformers and large language models in healthcare: A review
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang et al.
2024 · 110 Zit.
Use of artificial intelligence in critical care: opportunities and obstacles
Michael R. Pinsky, Armando Bedoya, Azra Bihorac et al.
2024 · 109 Zit.