In the nine years since the age of deep learning, artificial intelligence (AI) has made significant technological progress in medical imaging.
There are many aspects of the radiologist’s workflow where radiologists want improvements and that AI-based context could optimize and streamline.
The number and complexity of medical images continue to increase as novel applications of imaging for screening and diagnosis emerge, but the total number of radiologists is not increasing at the same rate. The ongoing expansion of medical imaging therefore requires better tools for thought. The next wave of AI must solve the workflow of real-time interpretation in radiology.
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