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			<depositor_name>Clinical Intelligence Research Press</depositor_name>
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				<full_title>Journal of Health Informatics and Digital Systems</full_title>
				<abbrev_title>J. Health Inform. Digit. Syst.</abbrev_title>
				<issn>3149-8973</issn>
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					<year>2026</year>
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					<volume>6</volume>
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				<issue>2</issue>
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				<titles>
					<title>Social Determinants in Healthcare AI: Integration Strategies, Bias Mechanisms, and Equity Evaluation</title>
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          					<person_name sequence="first" contributor_role="author">
            <given_name>Jose</given_name>
            <surname>Martinez</surname>
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            <given_name>Carmen</given_name>
            <surname>Lopez</surname>
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					<year>2026</year>
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					  <unstructured_citation>Labkoff S, Oladimeji B, Kannry J, Solomonides A, Leftwich R, Koski E, et al. Toward a responsible future: recommendations for AI-enabled clinical decision support. J Am Med Inform Assoc. 2024;31(11):2730-9.</unstructured_citation>
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					  <unstructured_citation>Bompelli A, Wang Y, Wan R, Singh E, Zhou Y, Xu L, et al. Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: a scoping review. Health Data Sci. 2021;2021:9759016.</unstructured_citation>
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					  <unstructured_citation>Celi LA, Cellini J, Charpignon ML, Dee EC, Dernoncourt F, Eber R, et al. Sources of bias in artificial intelligence that perpetuate healthcare disparities: a global review. PLOS Digit Health. 2022;1(3):e0000022.</unstructured_citation>
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					  <unstructured_citation>Nazer LH, Zatarah R, Waldrip S, Ke JXC, Moukheiber M, Khanna AK, et al. Bias in artificial intelligence algorithms and recommendations for mitigation. PLOS Digit Health. 2023;2(6):e0000278.</unstructured_citation>
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          					<citation key="rk-10.68159/m924320832-258fecf0-b1ff-40c3-868d-ee4b752c1553">
					  <unstructured_citation>Guevara M, Chen S, Thomas S, Chaunzwa TL, Franco I, Kann BH, et al. Large language models to identify social determinants of health in electronic health records. NPJ Digit Med. 2024;7:6.</unstructured_citation>
						 <doi>10.1038/s41746-023-00970-0</doi> 					</citation>
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					  <unstructured_citation>Kino S, Hsu YT, Shiba K, Chien YS, Mita C, Kawachi I, et al. A scoping review on the use of machine learning in research on social determinants of health. SSM Popul Health. 2021;15:100836.</unstructured_citation>
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					  <unstructured_citation>Pinera PA, Kim PC, Pinera FA, Shen JJ. Social determinants and health equity activities and AI adoption in US hospitals. Int J Environ Res Public Health. 2025;22(2):294.</unstructured_citation>
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          					<citation key="rk-10.68159/m924320832-6a67cd72-ede0-4494-bb49-39c2c0c859a1">
					  <unstructured_citation>Liu M, Ning Y, Teixayavong S, Liu X, Mertens M, Shang Y, et al. A scoping review and evidence gap analysis of clinical AI fairness. NPJ Digit Med. 2025;8(1):360.</unstructured_citation>
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          					<citation key="rk-10.68159/m924320832-f07e6a52-bd36-496f-992a-259be2043e9c">
					  <unstructured_citation>van Kessel R, Seghers LE, Anderson M, Schutte NM, Monti G, Haig M, et al. A scoping review and expert consensus on digital determinants of health. Bull World Health Organ. 2025;103(2):110-125H.</unstructured_citation>
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					  <unstructured_citation>Morita PP, Sahu KS, Oetomo A. Health monitoring using smart home technologies: scoping review. JMIR Mhealth Uhealth. 2023;11:e37347.</unstructured_citation>
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