MedCity News October 9, 2023
The ultimate challenge for the broader adoption of AI in medical imaging remains the same: demonstrating to healthcare institutions that it provides a clear ROI.
Over the past decade, artificial intelligence (AI) has revolutionized the field of medical imaging, driven by the immense potential to improve diagnostic accuracy and enhance the workflow of radiologists. With an abundance of imaging data available for training, AI algorithms have been developed and refined to review patient scans and help flag potential issues for radiologists. This integration of AI in medical imaging holds enormous promise, particularly in the realm of population health, where it enables more effective screening and early detection of diseases, ultimately improving patient care on a larger scale. However, the journey...
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