Singapore Eye Research Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan et al.
2023 · 2.897 Zit.
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin et al.
2021 · 808 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 · 427 Zit.
Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu et al.
2023 · 299 Zit.
Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard
Zhi Wei Lim, Krithi Pushpanathan, Samantha Min Er Yew et al.
2023 · 296 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 · 293 Zit.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.
2021 · 282 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.
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
Viknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal et al.
2020 · 245 Zit.
Ethical and regulatory challenges of large language models in medicine
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa et al.
2024 · 225 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 217 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.