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Join Dr. Anna Wolska and Dr. May Choi as they explore the role of Artificial Intelligence (AI) and Machine Learning (ML) in guiding diagnostic and care decisions for systemic lupus erythematosus (SLE). Dr. Choi delves into key elements of machine learning and its potential impact on improving outcomes, particularly in underserved populations. She also discusses various types of machine learning, such as deep learning, supervised learning, and unsupervised learning, highlighting their respective contributions to enhancing efficiencies within clinical care settings.
Read the related Review published in LSM: https://doi.org/10.1136/lupus-2023-001140
By BMJ Group4
1515 ratings
Join Dr. Anna Wolska and Dr. May Choi as they explore the role of Artificial Intelligence (AI) and Machine Learning (ML) in guiding diagnostic and care decisions for systemic lupus erythematosus (SLE). Dr. Choi delves into key elements of machine learning and its potential impact on improving outcomes, particularly in underserved populations. She also discusses various types of machine learning, such as deep learning, supervised learning, and unsupervised learning, highlighting their respective contributions to enhancing efficiencies within clinical care settings.
Read the related Review published in LSM: https://doi.org/10.1136/lupus-2023-001140

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