AI in Medical Imaging: Diagnostic Challenges and Key Technology Considerations

Healthcare data is growing at a faster rate compared to any other industry globally. This data, which plays an instrumental role in patient diagnosis, comes from diverse medical sources, which include magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), genomics, proteomics, wearable sensor streams and electronic health records (EHRs) that vary in structure. Since the data sets differ from each other and have multiple dimensions, they can be hard to interpret in clinical settings, especially when putting together details from different formats.