Physician perspectives on Artificial Intelligence in healthcare: a cross-sectional study of child-focused care in a Turkish tertiary hospital DOI

Oguzhan Serin,

Banu Fulya YILDIRIM,

Fatma Nur Duman

et al.

International Journal of Medical Informatics, Journal Year: 2025, Volume and Issue: 203, P. 106003 - 106003

Published: June 3, 2025

Language: Английский

More to Know Could Not be More to Trust: Open Communication as a Moral Imperative for AI Systems in Healthcare DOI Creative Commons
Georg Starke

The American Journal of Bioethics, Journal Year: 2025, Volume and Issue: 25(3), P. 119 - 121

Published: Feb. 24, 2025

Language: Английский

Citations

0
“First, Do No Harm” in the Digital Era: Examining the Practicality of the European Health Data Space Proposal and Ethical Implications of Artificial Intelligence. A Systematic Literature Review DOI
Ana Rita Ferreira,

Irina Alho,

Ana Luísa Neves

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Influences on trust in the use of AI-based triage—an interview study with primary healthcare professionals and patients in Sweden DOI Creative Commons
Emilie Steerling, Petra Svedberg, Per Nilsén

et al.

Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7

Published: May 20, 2025

Artificial intelligence (AI) has the potential to improve quality and efficiency of medical triage in primary care. However, there are many uncertainties related its use. Trust these systems is important for successful integration advancement into healthcare, yet this remains an understudied issue. Understanding influences on trust actual use AI necessary developing effective implementation strategies. This study aimed explore healthcare professionals patients AI-based care Sweden. We applied qualitative design using inductive approach based semi-structured interviews with 14 12 two regions The participants had experience were transcribed verbatim analyzed reflexive thematic analysis trust. Healthcare experienced three types their care: (1) provision accurate patient information, (2) alignment clinical expertise, (3) supervision patients' health safety. Their experiences across themes varied only terms influence experience-based knowledge. Both emphasized importance constructive dialogue, along clear instructions storage information. results demonstrate that building requires improved interaction ensure system adapted users' competencies level expertise. generalizability insights limited Future research should different settings inform policy, as well safe applications.

Language: Английский

Citations

0
Physician perspectives on Artificial Intelligence in healthcare: a cross-sectional study of child-focused care in a Turkish tertiary hospital DOI

Oguzhan Serin,

Banu Fulya YILDIRIM,

Fatma Nur Duman

et al.

International Journal of Medical Informatics, Journal Year: 2025, Volume and Issue: 203, P. 106003 - 106003

Published: June 3, 2025

Language: Английский

Citations

0