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| Deep learning outperforms kidney organoid experts |
| Seyoung Yu, Heon Yung Gee |
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Kidney Res Clin Pract. 2023;42(1):1-3. Published online January 31, 2023 DOI: https://doi.org/10.23876/j.krcp.22.174 |
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Deep learning outperforms kidney organoid experts Kidney Research and Clinical Practice. 2023;42(1):1-3  Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance npj Digital Medicine. 2020;3(1): Biomaterials Analysis and Deep Learning Outperforms Clinical Experts in Diagnosis and Classification of Human Bone Fractures Advances in Intelligent Systems and Computing. 2023;115-123 Head CT Deep Learning Model for Early Stroke Identification Outperforms Human Experts . 2021; Strategies for vascularization in kidney organoids Organoid. 2021;1:e14 Towards automatization of organoid analysis: A deep learning approach to localize and quantify organoid images Computer Methods and Programs in Biomedicine Update. 2023;3:100101 Deep Reinforcement Learning in Medicine Kidney Diseases. 2018;5(1):18-22 WCN23-0543 ESTABLISH ORGANOID MODELS TO STUDY HUMAN KIDNEY DISEASES Kidney International Reports. 2023;8(3):S215 Establishment of Kidney Cancer Organoid Cultures . 2020; Embryonic Organoid Transplantation Kidney Transplantation, Bioengineering and Regeneration. 2017;1163-1166 |
