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Queen Mary University of London

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

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Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots

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2023 · 446 Zit.

Clinical applications of machine learning algorithms: beyond the black box

David Watson, Jenny Krutzinna, Ian N Bruce et al.

2019 · 435 Zit.

Testing of detection tools for AI-generated text

Debora Weber-Wulff, Alla Anohina-Naumeca, Sonja Bjelobaba et al.

2023 · 386 Zit.

Science in the age of large language models

Abeba Birhane, Atoosa Kasirzadeh, David Leslie et al.

2023 · 309 Zit.

Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions

Michael Phillips, Helen Marsden, W. Jaffe et al.

2019 · 218 Zit.

ChatGPT: Vision and challenges

Sukhpal Singh Gill, Rupinder Kaur

2023 · 217 Zit.

Speeding up to keep up: exploring the use of AI in the research process

Jennifer Chubb, Peter Cowling, Darren Reed

2021 · 190 Zit.

ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions

Cosima C. Hoch, Barbara Wollenberg, Jan-Christoffer Lüers et al.

2023 · 153 Zit.

Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use

Tuan D. Pham

2025 · 138 Zit.

ECAI'92 – The 10th European Conference on Artificial Intelligence

Patricia M. Hill, Bogdan Filipič, Nick Jennings

1992 · 126 Zit.

Artificial intelligence in cardiology: Hope for the future and power for the present

Loucia Karatzia, Nay Aung, Dunja Aksentijević

2022 · 120 Zit.

Explainable Artificial Intelligence and Cardiac Imaging: Toward More Interpretable Models

Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al.

2023 · 91 Zit.

Clinical Applications of Machine Learning Algorithms: Beyond the Black Box

David M. Watson, Jenny Krutzinna, Ian N Bruce et al.

2019 · 89 Zit.