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 · 548 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 · 498 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 · 466 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 · 358 Zit.
MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery
Azra Bihorac, Tezcan Ozrazgat‐Baslanti, Ashkan Ebadi et al.
2018 · 340 Zit.
Accessing Artificial Intelligence for Clinical Decision-Making
Chris Giordano, Meghan Brennan, Basma Mohamed et al.
2021 · 295 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 · 288 Zit.
Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.
2020 · 238 Zit.
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions
Wei-Hsuan Lo-Ciganic, James L. Huang, Hao Helen Zhang et al.
2019 · 229 Zit.
Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications
Paul Thottakkara, Tezcan Ozrazgat‐Baslanti, Bradley Hupf et al.
2016 · 196 Zit.
Improved Trust in Human-Robot Collaboration With ChatGPT
Yang Ye, Hengxu You, Jing Du
2023 · 191 Zit.
A Call to Address AI “Hallucinations” and How Healthcare Professionals Can Mitigate Their Risks
Rami Hatem, Brianna Simmons, Joseph Thornton
2023 · 150 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 · 146 Zit.
Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study
Meghan Brennan, Sahil Puri, Tezcan Ozrazgat‐Baslanti et al.
2019 · 127 Zit.