The use of artificial intelligence in biomedical imaging has greatly enhanced the clinical decision process and diversified the scientific method in medicine and research. Machine learning methods have been proven to perform as well as or better than human experts in pattern detection and classification, making them ideal for applications in chronic disease screening and early detection. These methods have been implemented in all aspects of image formation, processing, and analysis, with applications in medicine, biological and pharmaceutical research, and various imaging modalities.
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