The impact of open-source image datasets

To train AI and ML models, large datasets are required. But this data is often inaccessible in healthcare settings, due to a variety of patient privacy laws and institutional policies. To address this obstacle and make data-sharing easier, several open-source projects have emerged. "The ability to use that large amount of data to inform our clinical decision-making is huge," said Joyce Sensmeier, vice president of informatics, technology, and innovation at HIMSS, about the open-source initiatives. The ability to leverage this already-captured data is a great next step, she said.