National University of San Marcos
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use
Benicio Gonzalo Acosta Enríquez, Marco Agustín Arbulú Ballesteros, Olger Huamaní Jordan et al.
2024 · 108 Zit.
Knowledge, attitudes, and perceived Ethics regarding the use of ChatGPT among generation Z university students
Benicio Gonzalo Acosta Enríquez, Marco Agustín Arbulú Ballesteros, Carmen Graciela Arbulú Pérez Várgas et al.
2024 · 75 Zit.
Generative artificial intelligence in higher education learning: A review based on academic databases
Daniel Andrade-Girón, William Joel Marín Rodriguez, Juana Sandivar-Rosas et al.
2024 · 22 Zit.
Exploring Artificial Intelligence Biases in Predictive Models for Cancer Diagnosis
Aref Smiley, C. Mahony Reátegui-Rivera, David Villarreal‐Zegarra et al.
2025 · 20 Zit.
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis
Aref Smiley, David Villarreal‐Zegarra, C. Mahony Reátegui-Rivera et al.
2025 · 9 Zit.
Applications and perspectives of artificial intelligence, machine learning and “dentronics” in dentistry: A literature review
Frank Mayta‐Tovalino, Arnaldo Munive-Degregori, Silvia Luza et al.
2023 · 9 Zit.
Scientometric analysis on the use of ChatGPT, artificial intelligence, or intelligent conversational agent in the role of medical training
Frank Mayta‐Tovalino, Fran Espinoza‐Carhuancho, Daniel Alvítez-Temoche et al.
2023 · 9 Zit.
Generative Artificial Intelligence and Transversal Competencies in Higher Education: A Systematic Review
Ángel Deroncele-Acosta, Rosa María Elizabeth Sayán-Rivera, Ángel Mendoza López et al.
2025 · 8 Zit.
Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Scoping Review
Jhon E. Bocanegra‐Becerra, Julia Sader Neves Ferreira, Gabriel Simoni et al.
2024 · 8 Zit.
Bibliometric Analyses of Applications of Artificial Intelligence on Tuberculosis
Miguel Cabanillas‐Lazo, Carlos Quispe‐Vicuña, Milagros Pascual-Guevara et al.
2022 · 7 Zit.
Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales et al.
2024 · 6 Zit.
Characteristics, Impact, and Visibility of Scientific Publications on Artificial Intelligence in Dentistry: A Scientometric Analysis
Cesar Mauricio‐Vilchez, Román Mendoza, Frank Mayta‐Tovalino et al.
2022 · 5 Zit.
The Role of Artificial Intelligence in the Diagnosis of Neoplastic Diseases: A Systematic and Bibliometric Review
Hector Espinoza Villavicencio, Javier Gamboa-Cruzado, Jefferson López-Goycochea et al.
2024 · 4 Zit.
Maximizing Survival in Pediatric Congenital Cardiac Surgery Using Machine Learning, Explainability, and Simulation Techniques
David Mauricio, Jorge Cárdenas-Grandez, Giuliana Vanessa Uribe Godoy et al.
2024 · 3 Zit.
Internal Validation of a Machine Learning-Based CDSS for Antimicrobial Stewardship
Ari Frenkel, Alicia Rendon, Carlos Chavez-Lencinas et al.
2025 · 3 Zit.