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Improving efficiency, reliability of AI medic

<p>Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according to Penn State researchers, who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.</p>
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Enan Zhang , Yusen Zhang , Rui Zhang , Prasenjit Mitra , Wu Guo , College Of Engineering , College Of Information Sciences , Children Hospital Affiliated To Zhengzhou University , Ministry Of Education , Penn State , Empirical Methods , Natural Language Processing , Information Sciences , Medical Summarization , Hospital Affiliated , Zhengzhou University , Federal Ministry , Improving Faithfulness ,

Improving efficiency, reliability of AI medical summarization tools

Improving efficiency, reliability of AI medical summarization tools
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Enan Zhang , College Of Information Sciences , Empirical Methods , Natural Language Processing , Penn State , Information Sciences , Medical Summarization , Improving Faithfulness ,