Shier Nee Saw

Department of Artificial Intelligence,
Faculty of Computer Science and Information Technology,
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology

Universiti Malaya

BIOGRAPHY

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PUBLICATIONS

Interpreting the role of nuchal fold for fetal growth restriction prediction using machine learning.

Scientific reports Mar, 2022 | Pubmed ID: 35273269

Current challenges of implementing artificial intelligence in medical imaging.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug, 2022 | Pubmed ID: 35714523

The accuracy of international and national fetal growth charts in detecting small-for-gestational-age infants using the Lambda-Mu-Sigma method.

Frontiers in surgery , 2023 | Pubmed ID: 37114151

Current status and future directions of explainable artificial intelligence in medical imaging.

European journal of radiology Feb, 2025 | Pubmed ID: 39667118

Enhancing Small-for-Gestational-Age Prediction: Multi-Country Validation of Nuchal Thickness, Estimated Fetal Weight, and Machine Learning Models.

Prenatal diagnosis Jan, 2025 | Pubmed ID: 39817730

INSTITUTIONS

Universiti Malaya

JOVE ARTICLES

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Afrina Adlyna Mohamad Matrol¹,

Melanie Koh¹,

Wei Ping Eddy Tan²,

Hang Cheng Ong³,

Letchumy Praba Ramanaidu⁴,

Shier Nee Saw¹

¹Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya,

²Bioinformatics Institute, Agency for Science, Technology and Research,

³Division of Infectious Diseases, Department of Medicine, Faculty of Medicine, Universiti Malaya,

⁴Division of Neurology, Department of Medicine, Faculty of Medicine, Universiti Malaya

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Shier Nee Saw

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Department of Artificial Intelligence,Faculty of Computer Science and Information Technology,Department of Artificial Intelligence, Faculty of Computer Science and Information Technology

Universiti Malaya

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Department of Artificial Intelligence,
Faculty of Computer Science and Information Technology,
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology