Will 2023 be the breakthrough year for AI in healthcare? While new algorithms undoubtedly show great potential to become valuable tools for radiologists, pathologists and many other medical experts, there are still critical issues to be solved before widespread clinical implementation. Technology could also provide much-needed insights into healthcare conditions in the Ukraine, while the UK needs to find solutions for its struggling emergency care system. Enjoy reading! |
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Article • Image augmentation, interpretation and evaluationAI in multimodality hybrid imaging: a diamond in the roughAI-based models for multimodality hybrid imaging have the potential to be a potent clinical tool but are currently held back by a lack of transparency and maturity, says Dr Irène Buvat, from the Laboratory of translational Imaging in Oncology, ... |
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