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NLP Framework Could Improve Medical Summarization Tools

NLP Framework Could Improve Medical Summarization Tools
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New yorkUnited statesEnan zhangShania kennedyPennsylvania state universityCollege of information sciencesGetty imagesInformation sciencesData augmentation may improveMedical summarizationResearchers validateImproving orthopedic surgeryNew york eyeEar infirmaryMount sinai

Streamlining AI for precise medical summarization

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.

Enan zhangWu guoPrasenjit mitraYusen zhangRui zhangChildren hospital affiliated to zhengzhou universityMinistry of educationCollege of information sciencesCollege of engineeringPenn stateEmpirical methodsNatural language processingInformation sciencesMedical summarizationHospital affiliatedZhengzhou university

Boosting AI Medical Summarization Tools Efficiency, Reliability

Boosting AI Medical Summarization Tools Efficiency, Reliability
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Enan zhangRui zhangYusen zhangPrasenjit mitraWu guoChildren hospital affiliated to zhengzhou universityMinistry of educationCollege of information sciencesCollege of engineeringPenn stateEmpirical methodsNatural language processingInformation sciencesMedical summarizationHospital affiliatedZhengzhou university

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>

Enan zhangYusen zhangRui zhangPrasenjit mitraWu guoCollege of engineeringCollege of information sciencesChildren hospital affiliated to zhengzhou universityMinistry of educationPenn stateEmpirical methodsNatural language processingInformation sciencesMedical summarizationHospital affiliatedZhengzhou university

Improving efficiency, reliability of AI medical summarization tools

Improving efficiency, reliability of AI medical summarization tools
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Enan zhangCollege of information sciencesEmpirical methodsNatural language processingPenn stateInformation sciencesMedical summarizationImproving faithfulness