Self-supervised learning has emerged as a powerful paradigm to bridge the gap between data abundance and label scarcity in medical imaging. By constructing supervisory signals from the data ...

AI, machine learning (ML) and especially generative AI (GenAI) were everywhere in 2023. But lots of the attention was performance art, not substance: when the media falls in love with a technology ...