Published on in Vol 25 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49949, first published .
Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial

Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial

Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial

Journals

  1. Ng F, Thirunavukarasu A, Cheng H, Tan T, Gutierrez L, Lan Y, Ong J, Chong Y, Ngiam K, Ho D, Wong T, Kwek K, Doshi-Velez F, Lucey C, Coffman T, Ting D. Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers. Cell Reports Medicine 2023;4(10):101230 View
  2. Thirunavukarasu A, Elangovan K, Gutierrez L, Hassan R, Li Y, Tan T, Cheng H, Teo Z, Lim G, Ting D. Clinical performance of automated machine learning: A systematic review. Annals of the Academy of Medicine, Singapore 2024;53(3):187 View
  3. Litvin A, Stoma I, Sharshakova T, Rumovskaya S, Kyovalev A. New possibilities of artificial intelligence in medicine: a narrative review. Health and Ecology Issues 2024;21(1):7 View
  4. Thirunavukarasu A, Elangovan K, Gutierrez L, Hassan R, Li Y, Tan T, Cheng H, Teo Z, Lim G, Ting D. Clinical performance of automated machine learning: A systematic review. Annals of the Academy of Medicine, Singapore 2024;53(3 - Correct DOI):187 View
  5. Shin D, Choi H, Kim D, Park J, Yoo T, Koh K. Code-Free Machine Learning Approach for EVO-ICL Vault Prediction: A Retrospective Two-Center Study. Translational Vision Science & Technology 2024;13(4):4 View
  6. Florentino B, Parmezan Bonidia R, Sanches N, da Rocha U, de Carvalho A. BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning. Computational and Structural Biotechnology Journal 2024;23:2267 View
  7. Wong C, Liu T, Wong T, Tong J, Lau H, Keane P. Development and validation of an automated machine learning model for the multi-class classification of diabetic retinopathy, central retinal vein occlusion and branch retinal vein occlusion based on color fundus photographs. JFO Open Ophthalmology 2024;7:100117 View
  8. Sabrigiriraj M, Manoharan K. Teaching Machine Learning and Deep Learning Introduction: An Innovative Tutorial-Based Practical Approach. WSEAS TRANSACTIONS ON ADVANCES in ENGINEERING EDUCATION 2024;21:54 View
  9. Adigun G, Ajani Y, Enakrire R. The Intelligent Libraries: Innovation for a Sustainable Knowledge System in the Fifth (5th) Industrial Revolution. Libri 2024;0(0) View