OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 03.04.2026, 00:29

University of California, Irvine

187.252 Arbeiten19.171.193 Zitationen
Land: USTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Artificial Intelligence and Acute Stroke Imaging

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ChatGPT in education: global reactions to AI innovations

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Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital Mortality

Christine K. Lee, Ira Hofer, Eilon Gabel et al.

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Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods

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Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI

Mahyar Abbasian, Elahe Khatibi, Iman Azimi et al.

2024 · 153 Zit.

ChatGPT Interactive Medical Simulations for Early Clinical Education: Case Study

Riley Scherr, Faris F Halaseh, Aidin Spina et al.

2023 · 106 Zit.

AI-writing tools in education: if you can’t beat them, join them

Waverly Tseng, Mark Warschauer

2023 · 100 Zit.

Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers

Ashlee Davis, Kristen Billick, Kenneth Horton et al.

2020 · 94 Zit.

Acceptance of Rules Generated by Machine Learning among Medical Experts

Sangeetha Mani, William R. Shankle, Michael J. Pazzani

2001 · 89 Zit.

Explaining machine learning models with interactive natural language conversations using TalkToModel

Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al.

2023 · 85 Zit.

What large language models know and what people think they know

Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar et al.

2025 · 84 Zit.

Should College Dropout Prediction Models Include Protected Attributes?

Renzhe Yu, Hansol Lee, René F. Kizilcec

2021 · 83 Zit.

“ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI

Clare Baek, Tamara Tate, Mark Warschauer

2024 · 82 Zit.

World Heart Federation Roadmap for Digital Health in Cardiology

Jasper Tromp, Devraj Jindal, Julie Redfern et al.

2022 · 79 Zit.

Establishing key research questions for the implementation of artificial intelligence in colonoscopy: a modified Delphi method

Omer F. Ahmad, Yuichi Mori, Masashi Misawa et al.

2020 · 67 Zit.