AI is utilized in medical imaging to improve diagnostic accuracy and efficiency. It employs machine learning algorithms and computer vision techniques to analyze medical images, detect abnormalities, and provide automated assistance to radiologists, aiding in early detection, treatment planning, and patient care.
Monash University researchers developed a co-training AI algorithm for medical imaging that simulates the process of seeking a second opinion. The algorithm leverages both labeled and unlabelled data, showing remarkable performance and an average improvement of 3% compared to state-of-the-art approaches in semi-supervised learning.
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