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			<depositor_name>Clinical Intelligence Research Press</depositor_name>
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				<full_title>Journal of Artificial Intelligence for Healthcare Systems</full_title>
				<abbrev_title>J. Artif. Intell. Healthc. Syst.</abbrev_title>
				<issn>3149-8981</issn>
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				<publication_date>
					<year>2025</year>
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					<volume>4</volume>
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				<issue>2</issue>
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					<title>Large Language Models in Clinical Contexts: Infrastructure, Oversight, and Risk Dynamics</title>
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          					<person_name sequence="first" contributor_role="author">
            <given_name>Andreas</given_name>
            <surname>Müller</surname>
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            <given_name>Stefan</given_name>
            <surname>Weber</surname>
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          					<person_name sequence="additional" contributor_role="author">
            <given_name>Julia</given_name>
            <surname>Hoffmann</surname>
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          					<person_name sequence="additional" contributor_role="author">
            <given_name>Lukas</given_name>
            <surname>Schneider</surname>
					</person_name>
          					<person_name sequence="additional" contributor_role="author">
            <given_name>Tobias</given_name>
            <surname>Klein</surname>
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								<publication_date>
					<year>2025</year>
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					  <unstructured_citation>Thirunavukarasu AJ, Ting DSJ, Elangovan K, Gutierrez L, Tan TF, Ting DSW. Large language models in medicine. Nat Med. 2023;29(8):1930-40.</unstructured_citation>
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					  <unstructured_citation>Van Veen D, Van Uden S, Blankemeier L, Delbrock H, Wiggins W, Bluethgen C, et al. Adapted large language models can outperform medical experts in clinical text summarization. Nat Med. 2024;30(4):1134-42.</unstructured_citation>
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