Editorial: Ultrasound in Oncology: Application of Big Data and Artificial Intelligence

Abstract

With the rapid development of science and technology, big data and artificial intelligence (AI) have ushered in a new era for medicine, especially the medical imaging. AI techniques are particularly applicable to imaging-based domains because the pixel values of the images themselves are quantifiable, which is the primary source of data for training and validating algorithms. Big databased AI has attracted extensive attention for its superior performance and repeatability in medical image recognition. The application of AI technology can provide new clinical perspectives in complex medical imaging to improve diagnostic and surveillance accuracy (1, 2).

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