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Article Abstract
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289301 | PMC |
| http://dx.doi.org/10.1097/CM9.0000000000000769 | DOI Listing |
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Artificial intelligence (AI) methods in hepatology have proliferated since the mid-2010s, with numerous publications and some regulatory approvals. Yet, adoption of AI methods in real-world clinical practice and clinical research remains limited. Despite clear benefits of using AI to analyze complex data types in hepatology, such as histopathology, radiology images, multi-omics and more recently, natural language patient data, there are still substantial barriers and challenges to its integration into routine clinical workflows.
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