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Universitat de les Illes Balears

26.464 Arbeiten2.090.231 Zitationen
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain

Rubén Comas Forgas, Thomas Lancaster, Aina Calvo-Sastre et al.

2021 · 91 Zit.

Academic plagiarism prevalence among Spanish undergraduate students: an exploratory analysis

Rubén Comas Forgas, Jaume Sureda Negre, Francesca Salvà‐Mut

2010 · 26 Zit.

Ethics for AI in Plastic Surgery: Guidelines and Review

Nitzan Kenig, Javier Montón Echeverría, Carlos G. Rubi

2024 · 23 Zit.

Assessing Gender Bias in Predictive Algorithms using eXplainable AI

Cristina Manresa-Yee, Silvia Ramis

2021 · 20 Zit.

Evaluating Explainable Artificial Intelligence for X-ray Image Analysis

Miquel Miró-Nicolau, Gabriel Moyà-Alcover, Antoni Jaume-i-Capó

2022 · 20 Zit.

Student perceptions of ChatGPT: benefits, costs, and attitudinal differences between users and non-users toward AI integration in higher education

Joanna Blahopoulou, Silvia Ortiz-Bonnín

2025 · 18 Zit.

Crowdsourcing human-based computation for medical image analysis: A systematic literature review

Nataša Petrović, Gabriel Moyà-Alcover, Javier Varona et al.

2020 · 15 Zit.

Chat or cheat? Academic dishonesty, risk perceptions, and ChatGPT usage in higher education students

Silvia Ortiz-Bonnín, Joanna Blahopoulou

2025 · 11 Zit.

Desafiando el estado del arte en el uso de ChatGPT en educación en el año 2023

Fabio Saz-Pérez, Bartolomé Pizà-Mir

2023 · 8 Zit.

Impact of Explanations for Trustworthy and Transparent Artificial Intelligence

Cristina Manresa-Yee, Silvia Ramis, F. Xavier Gaya-Morey et al.

2023 · 7 Zit.

‘ <scp>AI</scp> ‐navigating’ or ‘ <scp>AI</scp> ‐sinking’? An analysis of verbs in research articles titles suspicious of containing <scp>AI</scp> ‐generated/assisted content

Rubén Comas Forgas, Alexandros Koulouris, Dimitrios Kouis

2024 · 6 Zit.

Robot pen pals: a multidisciplinary analysis of recent trends in scientific correspondence

Carlos Chaccour, Gonzalo Arrondo, Tommaso Cancellario et al.

2025 · 3 Zit.

Challenges and promises of machine learning-based risk prediction modelling in cardiovascular disease

Maribel González‐Del‐Hoyo, Xavier Rosselló

2021 · 3 Zit.

Integrating Artificial Intelligence in Thyroid Nodule Management: Clinical Outcomes and Cost-effectiveness Analysis

Javier Bodoque Cubas, José Fernández‐Sáez, Sergio Martínez‐Hervás et al.

2025 · 2 Zit.

Predicting the unpredictable: a novel application of artificial intelligence in the cardiac intensive care unit

Jacob C. Jentzer, Xavier Rosselló

2024 · 1 Zit.