Duke-NUS Medical School
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting
2021 · 438 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 428 Zit.
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu et al.
2023 · 300 Zit.
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 298 Zit.
Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies
Dinesh Visva Gunasekeran, Rachel Marjorie Wei Wen Tseng, Yih Chung Tham et al.
2021 · 279 Zit.
Ethical and regulatory challenges of large language models in medicine
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa et al.
2024 · 228 Zit.
Global Regulatory Frameworks for the Use of Artificial Intelligence (AI) in the Healthcare Services Sector
Kavitha Palaniappan, Elaine Yan Ting Lin, Silke Vogel
2024 · 224 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 179 Zit.
Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms
Tyler Hyungtaek Rim, Geunyoung Lee, Youngnam Kim et al.
2020 · 162 Zit.
Large language models and their impact in ophthalmology
Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.
2023 · 128 Zit.
Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Zhen Ling Teo, Liyuan Jin, Nan Liu et al.
2024 · 128 Zit.
ChatGPT: promise and challenges for deployment in low- and middle-income countries
Xiaofei Wang, Hayley M. Sanders, Yuchen Liu et al.
2023 · 124 Zit.
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist
Yilin Ning, Salinelat Teixayavong, Yuqing Shang et al.
2024 · 123 Zit.
Steps to avoid overuse and misuse of machine learning in clinical research
Victor Volovici, Nicholas Syn, Ari Ercole et al.
2022 · 104 Zit.
Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers
Faye Yu Ci Ng, Arun James Thirunavukarasu, Haoran Cheng et al.
2023 · 93 Zit.