Phenikaa University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study
Bach Xuan Tran, Giang Thu Vu, Giang Hai Ha et al.
2019 · 450 Zit.
The limitations of retraction notices and the heroic acts of authors who correct the scholarly record: An analysis of retractions of papers published from 1975 to 2019
Quan‐Hoang Vuong
2019 · 127 Zit.
Artificial Intelligence vs. Natural Stupidity: Evaluating AI Readiness for the Vietnamese Medical Information System
Quan‐Hoang Vuong, Tung Manh Ho, Thu‐Trang Vuong et al.
2019 · 91 Zit.
Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude
Tung Manh Ho, Ngoc-Thang B. Le, Peter Mantello et al.
2022 · 78 Zit.
Characteristics of retracted articles based on retraction data from online sources through February 2019
Quan‐Hoang Vuong, Viet‐Phuong La, Tung Manh Ho et al.
2020 · 50 Zit.
Accuracy of latest large language models in answering multiple choice questions in dentistry: A comparative study
Huy Cong Nguyen, Đang Hai, Thuy Linh Nguyen et al.
2025 · 20 Zit.
Three tragedies that shape human life in age of AI and their antidotes
Tung Manh Ho, Manh‐Toan Ho
2025 · 15 Zit.
Characteristics of retracted articles based on retraction data from online sources through February 2019
Quan‐Hoang Vuong, Viet‐Phuong La, Tung Manh Ho et al.
2020 · 14 Zit.
A preliminary example of utilizing AI text generation to support academic writing “Humans befriending their creations some notes on the human-AI relationship”
Tam-Tri Le
2023 · 14 Zit.
Gauging public opinion of AI and emotionalized AI in healthcare: findings from a nationwide survey in Japan
Peter Mantello, Nader Ghotbi, Tung Manh Ho et al.
2024 · 8 Zit.
Artificial intelligence and retracted science
Minh‐Hoang Nguyen, Quan‐Hoang Vuong
2024 · 8 Zit.
Quantifying the speed-accuracy trade-off of large language models on oral and maxillofacial surgery multiple-choice questions
Viet Anh Nguyen, Thi Bich Ngoc Ha, Minh Ngoc Tran et al.
2025 · 4 Zit.
Are we at the start of the artificial intelligence era in academic publishing?
Quan‐Hoang Vuong, Viet‐Phuong La, Minh‐Hoang Nguyen et al.
2023 · 4 Zit.
Benchmarking large-language-model vision capabilities in oral and maxillofacial anatomy: A cross-sectional study
Nguyễn Việt Anh, Thi Quynh Trang Vuong, Van Hung Nguyen
2025 · 4 Zit.
Evaluating cognitive depth of AI-generated multiple-choice questions with Bloom’s Taxonomy
Trang Thi Nguyen, Nguyen, Linh, T K, Hà Thị Nguyệt et al.
2026 · 2 Zit.