Agency for Science, Technology and Research
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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.
A review of uncertainty estimation and its application in medical imaging
Ke Zou, Zhihao Chen, Xuedong Yuan et al.
2023 · 113 Zit.
Privacy preservation for federated learning in health care
Sarthak Pati, Sourav Kumar, A. Varma et al.
2024 · 108 Zit.
Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising
Liang Qiu, Jierong Cheng, Huxin Gao et al.
2023 · 77 Zit.
Machine learning in medicine: what clinicians should know
Jordan Sim, Qi Wei Fong, Weimin Huang et al.
2021 · 74 Zit.
A Retrospective Analysis of the Trend of Retracted Publications in the Field of Biomedical and Life Sciences
Jong Yong Abdiel Foo
2010 · 52 Zit.
Ethical considerations in AI for child health and recommendations for child-centered medical AI
Seo Yi Chng, Mark Jun Wen Tern, Yung Seng Lee et al.
2025 · 34 Zit.
Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care
Charlene Liew, Pavitra Krishnaswamy, Lionel Tim‐Ee Cheng et al.
2019 · 18 Zit.
Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities
Caroline Vasseneix, Simon Nusinovici, Xinxing Xu et al.
2023 · 17 Zit.
TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction
Junyi Liu, Liangzhi Li, Tong Xiang et al.
2023 · 17 Zit.
Diagnostic Performance of a Deep Learning Model Deployed at a National COVID-19 Screening Facility for Detection of Pneumonia on Frontal Chest Radiographs
Jordan Sim, Yong Han Ting, Yuan Tang et al.
2022 · 13 Zit.
Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World?
Alexa Nord-Bronzyk, Julian Savulescu, Angela Ballantyne et al.
2025 · 9 Zit.
Privacy-Preserving Technology Using Federated Learning and Blockchain in Protecting against Adversarial Attacks for Retinal Imaging
Zhen Ling Teo, Zhang Xiao-man, Yechao Yang et al.
2024 · 9 Zit.
Hypocrisy Around Medical Patient Data: Issues of Access for Biomedical Research, Data Quality, Usefulness for the Purpose and Omics Data as Game Changer
Erwin Tantoso, Wing‐Cheong Wong, Wei Hong Tay et al.
2019 · 8 Zit.
A Cross-Era Discourse on ChatGPT’s Influence in Higher Education through the Lens of John Dewey and Benjamin Bloom
Koki Mandai, Mark Jun Hao Tan, Suman Padhi et al.
2024 · 7 Zit.