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Multinational Attitudes Toward AI in Health Care and Diagnostics among Hospital Patients

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Multinational Attitudes Toward AI in Health Care and Diagnostics among Hospital Patients
Συγγραφείς: Busch F., Hoffmann L., Xu L., Zhang L. J., Hu B., Garcia-Juarez I., Toapanta-Yanchapaxi L. N., Gorelik N., Gorelik V., Rodriguez-Granillo G. A., Ferrarotti C., Cuong N. N., Thi C. A. P., Tuncel M., Kaya G., Solis-Barquero S. M., Mendez Avila M. C., Ivanova N. G., Kitamura F. C., Hayama K. Y. I., Puntunet Bates M. L., Torres P. I., Ortiz-Prado E., Izquierdo-Condoy J. S., Schwarz G. M., Hofstaetter J. G., Hide M., Takeda K., Peric B., Pilko G., Thulesius H. O., Lindow T., Kolawole I. K., Olatoke S. A., Grzybowski A., Corlateanu A., Iaconi O. -S., Li T., Domitrz I., Kepczynska K., Mihalcin M., Fasanekova L., Zatonski T., Fulek K., Molnar A., Maihoub S., Da Silva Gama Z. A., Saba L., Sountoulides P., Makowski M. R., Aerts H. J. W. L., Adams L. C., Bressem K. K., Navarro A. A., Aguas C., Aineseder M., Alomar M., Al Sliman R., Anand G., Angkurawaranon S., Aoki S., Arkoh S., Ashraf G., Astri Y., Bakhshi S., Bayramov N. Y., Billis A., Bitencourt A. G. V., Bolejko A., Bollas Becerra A. J., Bwambale J., Capela A., Cau R., Chacon-Acevedo K. R., Chaunzwa T. L., Chojniak R., Clements W., Cuocolo R., Dahlblom V., Sousa K. D. M., Villarrubia J. E., Desai V. B., Dhakal A. K., Dignum V., Andrade R. G. F., Ferraioli G., Ganguly S., Garg H., Savevska C. G., Radovikj M. G., Gkartzoni A., Gorospe L., Griffin I., Hadamitzky M., Ndahiro M. H., Hering A., Hochhegger B., Huseynova M. R., Ishida F., Jha N., Jiang L., Kader R., Kavnoudias H., Klein C., Kolostoumpis G., Koshy A., Kruger N. A., Loser A., Lucijanic M., Mantziari D., Margue G., McFadden S., Miyake M., Morakote W., Ngabonziza I., Nguyen T. T., Niehues S. M., Nortje M., Palaian S., Pentara N. V., De Almeida R. P. P., Poma G., Purwoko M., Pyrgidis N., Rafailidis V., Rainey C., Ribeiro J. C., Agudelo N. R., Sado K., Saidman J. M., Saturno-Hernandez P. J., Suryadevara V., Schulz G. B., Soric E., Soto-Perez-Olivares J., Stanzione A., Struck J. P., Takaoka H., Tanioka S., Huyen T. T. M., Truhn D., Van Dijk E. H. C., Van Wijngaarden P., Wang Y. -C., Weidlich M., Zhang S.
Συνεισφορές: Busch, F., Hoffmann, L., Xu, L., Zhang, L. J., Hu, B., Garcia-Juarez, I., Toapanta-Yanchapaxi, L. N., Gorelik, N., Gorelik, V., Rodriguez-Granillo, G. A., Ferrarotti, C., Cuong, N. N., Thi, C. A. P., Tuncel, M., Kaya, G., Solis-Barquero, S. M., Mendez Avila, M. C., Ivanova, N. G., Kitamura, F. C., Hayama, K. Y. I., Puntunet Bates, M. L., Torres, P. I., Ortiz-Prado, E., Izquierdo-Condoy, J. S., Schwarz, G. M., Hofstaetter, J. G., Hide, M., Takeda, K., Peric, B., Pilko, G., Thulesius, H. O., Lindow, T., Kolawole, I. K., Olatoke, S. A., Grzybowski, A., Corlateanu, A., Iaconi, O. -S., Li, T., Domitrz, I., Kepczynska, K., Mihalcin, M., Fasanekova, L., Zatonski, T., Fulek, K., Molnar, A., Maihoub, S., Da Silva Gama, Z. A., Saba, L., Sountoulides, P., Makowski, M. R., Aerts, H. J. W. L., Adams, L. C., Bressem, K. K., Navarro, A. A., Aguas, C., Aineseder, M., Alomar, M., Al Sliman, R., Anand, G., Angkurawaranon, S., Aoki, S., Arkoh, S., Ashraf, G., Astri, Y., Bakhshi, S., Bayramov, N. Y., Billis, A., Bitencourt, A. G. V., Bolejko, A., Bollas Becerra, A. J., Bwambale, J., Capela, A., Cau, R., Chacon-Acevedo, K. R., Chaunzwa, T. L., Chojniak, R., Clements, W., Cuocolo, R., Dahlblom, V., Sousa, K. D. M., Villarrubia, J. E., Desai, V. B., Dhakal, A. K., Dignum, V., Andrade, R. G. F., Ferraioli, G., Ganguly, S., Garg, H., Savevska, C. G., Radovikj, M. G., Gkartzoni, A., Gorospe, L., Griffin, I., Hadamitzky, M., Ndahiro, M. H., Hering, A., Hochhegger, B., Huseynova, M. R., Ishida, F., Jha, N.
Έτος έκδοσης: 2025
Συλλογή: IRIS Università degli Studi di Napoli Federico II
Περιγραφή: Importance: The successful implementation of artificial intelligence (AI) in health care depends on its acceptance by key stakeholders, particularly patients, who are the primary beneficiaries of AI-driven outcomes. Objectives: To survey hospital patients to investigate their trust, concerns, and preferences toward the use of AI in health care and diagnostics and to assess the sociodemographic factors associated with patient attitudes. Design, Setting, and Participants: This cross-sectional study developed and implemented an anonymous quantitative survey between February 1 and November 1, 2023, using a nonprobability sample at 74 hospitals in 43 countries. Participants included hospital patients 18 years of age or older who agreed with voluntary participation in the survey presented in 1 of 26 languages. Exposure: Information sheets and paper surveys handed out by hospital staff and posted in conspicuous hospital locations. Main Outcomes and Measures: The primary outcome was participant responses to a 26-item instrument containing a general data section (8 items) and 3 dimensions (trust in AI, AI and diagnosis, preferences and concerns toward AI) with 6 items each. Subgroup analyses used cumulative link mixed and binary mixed-effects models. Results: In total, 13806 patients participated, including 8951 (64.8%) in the Global North and 4855 (35.2%) in the Global South. Their median (IQR) age was 48 (34-62) years, and 6973 (50.5%) were male. The survey results indicated a predominantly favorable general view of AI in health care, with 57.6% of respondents (7775 of 13502) expressing a positive attitude. However, attitudes exhibited notable variation based on demographic characteristics, health status, and technological literacy. Female respondents (3511 of 6318 [55.6%]) exhibited fewer positive attitudes toward AI use in medicine than male respondents (4057 of 6864 [59.1%]), and participants with poorer health status exhibited fewer positive attitudes toward AI use in medicine (eg, 58 of 199 [29.2%] with rather ...
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: volume:8; issue:6; firstpage:e2514452; journal:JAMA NETWORK OPEN; https://hdl.handle.net/11588/1014799
DOI: 10.1001/jamanetworkopen.2025.14452
Διαθεσιμότητα: https://hdl.handle.net/11588/1014799
https://doi.org/10.1001/jamanetworkopen.2025.14452
Rights: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by/4.0/
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  Data: Multinational Attitudes Toward AI in Health Care and Diagnostics among Hospital Patients
– Name: Author
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  Group: Au
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I.</searchLink><br /><searchLink fieldCode="AR" term="%22Puntunet+Bates+M%2E+L%2E%22">Puntunet Bates M. L.</searchLink><br /><searchLink fieldCode="AR" term="%22Torres+P%2E+I%2E%22">Torres P. I.</searchLink><br /><searchLink fieldCode="AR" term="%22Ortiz-Prado+E%2E%22">Ortiz-Prado E.</searchLink><br /><searchLink fieldCode="AR" term="%22Izquierdo-Condoy+J%2E+S%2E%22">Izquierdo-Condoy J. S.</searchLink><br /><searchLink fieldCode="AR" term="%22Schwarz+G%2E+M%2E%22">Schwarz G. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Hofstaetter+J%2E+G%2E%22">Hofstaetter J. G.</searchLink><br /><searchLink fieldCode="AR" term="%22Hide+M%2E%22">Hide M.</searchLink><br /><searchLink fieldCode="AR" term="%22Takeda+K%2E%22">Takeda K.</searchLink><br /><searchLink fieldCode="AR" term="%22Peric+B%2E%22">Peric B.</searchLink><br /><searchLink fieldCode="AR" term="%22Pilko+G%2E%22">Pilko G.</searchLink><br /><searchLink fieldCode="AR" term="%22Thulesius+H%2E+O%2E%22">Thulesius H. 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M.</searchLink><br /><searchLink fieldCode="AR" term="%22Nortje+M%2E%22">Nortje M.</searchLink><br /><searchLink fieldCode="AR" term="%22Palaian+S%2E%22">Palaian S.</searchLink><br /><searchLink fieldCode="AR" term="%22Pentara+N%2E+V%2E%22">Pentara N. V.</searchLink><br /><searchLink fieldCode="AR" term="%22De+Almeida+R%2E+P%2E+P%2E%22">De Almeida R. P. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Poma+G%2E%22">Poma G.</searchLink><br /><searchLink fieldCode="AR" term="%22Purwoko+M%2E%22">Purwoko M.</searchLink><br /><searchLink fieldCode="AR" term="%22Pyrgidis+N%2E%22">Pyrgidis N.</searchLink><br /><searchLink fieldCode="AR" term="%22Rafailidis+V%2E%22">Rafailidis V.</searchLink><br /><searchLink fieldCode="AR" term="%22Rainey+C%2E%22">Rainey C.</searchLink><br /><searchLink fieldCode="AR" term="%22Ribeiro+J%2E+C%2E%22">Ribeiro J. C.</searchLink><br /><searchLink fieldCode="AR" term="%22Agudelo+N%2E+R%2E%22">Agudelo N. R.</searchLink><br /><searchLink fieldCode="AR" term="%22Sado+K%2E%22">Sado K.</searchLink><br /><searchLink fieldCode="AR" term="%22Saidman+J%2E+M%2E%22">Saidman J. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Saturno-Hernandez+P%2E+J%2E%22">Saturno-Hernandez P. J.</searchLink><br /><searchLink fieldCode="AR" term="%22Suryadevara+V%2E%22">Suryadevara V.</searchLink><br /><searchLink fieldCode="AR" term="%22Schulz+G%2E+B%2E%22">Schulz G. B.</searchLink><br /><searchLink fieldCode="AR" term="%22Soric+E%2E%22">Soric E.</searchLink><br /><searchLink fieldCode="AR" term="%22Soto-Perez-Olivares+J%2E%22">Soto-Perez-Olivares J.</searchLink><br /><searchLink fieldCode="AR" term="%22Stanzione+A%2E%22">Stanzione A.</searchLink><br /><searchLink fieldCode="AR" term="%22Struck+J%2E+P%2E%22">Struck J. P.</searchLink><br /><searchLink fieldCode="AR" term="%22Takaoka+H%2E%22">Takaoka H.</searchLink><br /><searchLink fieldCode="AR" term="%22Tanioka+S%2E%22">Tanioka S.</searchLink><br /><searchLink fieldCode="AR" term="%22Huyen+T%2E+T%2E+M%2E%22">Huyen T. T. M.</searchLink><br /><searchLink fieldCode="AR" term="%22Truhn+D%2E%22">Truhn D.</searchLink><br /><searchLink fieldCode="AR" term="%22Van+Dijk+E%2E+H%2E+C%2E%22">Van Dijk E. H. C.</searchLink><br /><searchLink fieldCode="AR" term="%22Van+Wijngaarden+P%2E%22">Van Wijngaarden P.</searchLink><br /><searchLink fieldCode="AR" term="%22Wang+Y%2E+-C%2E%22">Wang Y. -C.</searchLink><br /><searchLink fieldCode="AR" term="%22Weidlich+M%2E%22">Weidlich M.</searchLink><br /><searchLink fieldCode="AR" term="%22Zhang+S%2E%22">Zhang S.</searchLink>
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  Label: Contributors
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  Data: Busch, F.<br />Hoffmann, L.<br />Xu, L.<br />Zhang, L. J.<br />Hu, B.<br />Garcia-Juarez, I.<br />Toapanta-Yanchapaxi, L. N.<br />Gorelik, N.<br />Gorelik, V.<br />Rodriguez-Granillo, G. A.<br />Ferrarotti, C.<br />Cuong, N. N.<br />Thi, C. A. P.<br />Tuncel, M.<br />Kaya, G.<br />Solis-Barquero, S. M.<br />Mendez Avila, M. C.<br />Ivanova, N. G.<br />Kitamura, F. C.<br />Hayama, K. Y. I.<br />Puntunet Bates, M. L.<br />Torres, P. I.<br />Ortiz-Prado, E.<br />Izquierdo-Condoy, J. S.<br />Schwarz, G. M.<br />Hofstaetter, J. G.<br />Hide, M.<br />Takeda, K.<br />Peric, B.<br />Pilko, G.<br />Thulesius, H. O.<br />Lindow, T.<br />Kolawole, I. K.<br />Olatoke, S. A.<br />Grzybowski, A.<br />Corlateanu, A.<br />Iaconi, O. -S.<br />Li, T.<br />Domitrz, I.<br />Kepczynska, K.<br />Mihalcin, M.<br />Fasanekova, L.<br />Zatonski, T.<br />Fulek, K.<br />Molnar, A.<br />Maihoub, S.<br />Da Silva Gama, Z. A.<br />Saba, L.<br />Sountoulides, P.<br />Makowski, M. R.<br />Aerts, H. J. W. L.<br />Adams, L. C.<br />Bressem, K. K.<br />Navarro, A. A.<br />Aguas, C.<br />Aineseder, M.<br />Alomar, M.<br />Al Sliman, R.<br />Anand, G.<br />Angkurawaranon, S.<br />Aoki, S.<br />Arkoh, S.<br />Ashraf, G.<br />Astri, Y.<br />Bakhshi, S.<br />Bayramov, N. Y.<br />Billis, A.<br />Bitencourt, A. G. V.<br />Bolejko, A.<br />Bollas Becerra, A. J.<br />Bwambale, J.<br />Capela, A.<br />Cau, R.<br />Chacon-Acevedo, K. R.<br />Chaunzwa, T. L.<br />Chojniak, R.<br />Clements, W.<br />Cuocolo, R.<br />Dahlblom, V.<br />Sousa, K. D. M.<br />Villarrubia, J. E.<br />Desai, V. B.<br />Dhakal, A. K.<br />Dignum, V.<br />Andrade, R. G. F.<br />Ferraioli, G.<br />Ganguly, S.<br />Garg, H.<br />Savevska, C. G.<br />Radovikj, M. G.<br />Gkartzoni, A.<br />Gorospe, L.<br />Griffin, I.<br />Hadamitzky, M.<br />Ndahiro, M. H.<br />Hering, A.<br />Hochhegger, B.<br />Huseynova, M. R.<br />Ishida, F.<br />Jha, N.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2025
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: IRIS Università degli Studi di Napoli Federico II
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Importance: The successful implementation of artificial intelligence (AI) in health care depends on its acceptance by key stakeholders, particularly patients, who are the primary beneficiaries of AI-driven outcomes. Objectives: To survey hospital patients to investigate their trust, concerns, and preferences toward the use of AI in health care and diagnostics and to assess the sociodemographic factors associated with patient attitudes. Design, Setting, and Participants: This cross-sectional study developed and implemented an anonymous quantitative survey between February 1 and November 1, 2023, using a nonprobability sample at 74 hospitals in 43 countries. Participants included hospital patients 18 years of age or older who agreed with voluntary participation in the survey presented in 1 of 26 languages. Exposure: Information sheets and paper surveys handed out by hospital staff and posted in conspicuous hospital locations. Main Outcomes and Measures: The primary outcome was participant responses to a 26-item instrument containing a general data section (8 items) and 3 dimensions (trust in AI, AI and diagnosis, preferences and concerns toward AI) with 6 items each. Subgroup analyses used cumulative link mixed and binary mixed-effects models. Results: In total, 13806 patients participated, including 8951 (64.8%) in the Global North and 4855 (35.2%) in the Global South. Their median (IQR) age was 48 (34-62) years, and 6973 (50.5%) were male. The survey results indicated a predominantly favorable general view of AI in health care, with 57.6% of respondents (7775 of 13502) expressing a positive attitude. However, attitudes exhibited notable variation based on demographic characteristics, health status, and technological literacy. Female respondents (3511 of 6318 [55.6%]) exhibited fewer positive attitudes toward AI use in medicine than male respondents (4057 of 6864 [59.1%]), and participants with poorer health status exhibited fewer positive attitudes toward AI use in medicine (eg, 58 of 199 [29.2%] with rather ...
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: volume:8; issue:6; firstpage:e2514452; journal:JAMA NETWORK OPEN; https://hdl.handle.net/11588/1014799
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1001/jamanetworkopen.2025.14452
– Name: URL
  Label: Availability
  Group: URL
  Data: https://hdl.handle.net/11588/1014799<br />https://doi.org/10.1001/jamanetworkopen.2025.14452
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by/4.0/
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.BDF86430
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        Value: 10.1001/jamanetworkopen.2025.14452
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      – Text: English
    Titles:
      – TitleFull: Multinational Attitudes Toward AI in Health Care and Diagnostics among Hospital Patients
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