Agency for Science, Technology and Research

Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

Thomas Schaffter, Diana S.M. Buist, Christoph I. Lee et al.

2020 · 409 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 · 157 Zit.

Privacy preservation for federated learning in health care

Sarthak Pati, Sourav Kumar, A. Varma et al.

2024 · 132 Zit.

A review of uncertainty estimation and its application in medical imaging

Ke Zou, Zhihao Chen, Xuedong Yuan et al.

2023 · 123 Zit.

Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising

Liang Qiu, Jierong Cheng, Huxin Gao et al.

2023 · 83 Zit.

Machine learning in medicine: what clinicians should know

Jordan Sim, Qi Wei Fong, Weimin Huang et al.

2021 · 82 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 · 40 Zit.

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

Lily Wei Yun Yang, Wei Yan Ng, Xiaofeng Lei et al.

2023 · 36 Zit.

TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction

Junyi Liu, Liangzhi Li, Tong Xiang et al.

2023 · 21 Zit.

A comprehensive AI model development framework for consistent Gleason grading

Xinmi Huo, Kok Haur Ong, Kah Weng Lau et al.

2024 · 18 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.

AI for scientific integrity: detecting ethical breaches, errors, and misconduct in manuscripts

Diogo Pellegrina, Mohamed Helmy

2025 · 15 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 · 12 Zit.