Table 1.

Selected papers on AI-enabled healthcare services

PerspectiveAuthor and yearFocus and contextMethod
CustomerHuang et al. (2023) Acceptance of AI in medical contextExperimental
Kumar et al. (2024) Current state of research on AI in healthcareMixed methods
Longoni et al. (2019) Risks of AI in medical contextExperimental
Pasca and Arcese (2024) Benefits of AI in healthcare and beyondQualitative
EmployeeAlwali and Alwali (2025) Benefits and risks of AI in healthcareSurvey
Gonzalez-Garcia et al. (2024) Benefits and risks of AI in nursingReview
Irgang et al. (2025) Current state of research on AI in healthcareQuantitative
Tursunbayeva and Renkema (2023) Benefits and risks of AI in healthcareReview / conceptual
OrganizationAfjal (2024) Benefits of GenAI in healthcare and beyondReview / conceptual
Aldwean and Tenney (2024) Benefits and risks of AI in healthcareReview
Bastone et al. (2024) Benefits of AI in healthcareFocus groups / exploratory
Dicuonzo et al. (2023) Benefits of AI for healthcare systemCase study
Kannelønning (2024) Benefits of AI in healthcareCase study / conceptual
Kulkov (2023) Research on AI and risks in healthcare start-upsCase study / conceptual
Pham et al. (2024) Benefits of AI in hospitalsQuantitative exploratory
Wubineh et al. (2024) Benefits and risks of AI in healthcareReview
Sector/systemCuriello et al. (2025) Benefits and risks of AI in healthcare ecosystemReview
Bekbolatova et al. (2024) Benefits and risks of AI in healthcareReview
Canavale et al. (2022) Benefits and risks of AI in healthcare networksReview / conceptual
Meyer et al. (2024) Current state of research on AI in acute careReview (conceptual)
Shah et al. (2024) Current state of research on AI in healthcareReview
The present studySocial impact potential of GenAI in healthcare SMEsCo-creative approach (including review)
Source(s): Authors’ own work

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