How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey

Weber, Sebastian; Wyszynski, Marc; Godefroid, Marie; Plattfaut, Ralf; Niehaves, Bjoern

doi:10.1016/j.csbj.2024.02.009

Cited by 4 publications

(2 citation statements)

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“…This aligns with research from various regions, including Europe, Korea, and the United States [14][15][16]. For instance, a study in the Netherlands found that physician acceptance of AI-powered care pathways was significantly influenced by the belief that AI would enhance medical performance [19,20]. These findings suggest a global consensus among physicians that AI should be a collaborative tool, augmenting their expertise rather than replacing it.…”

Section: Discussionsupporting

confidence: 69%

“…Additionally, cultural factors may influence attitudes towards AI. Studies have shown that individuals from collectivistic cultures, which emphasize group harmony and social norms, may be more receptive to technologies that support collaboration and shared decision-making [13,20]. As Saudi Arabia scores relatively high on collectivism scales, this could partially explain the preference for physician-led decisionmaking with AI as a supportive tool.…”

Section: Discussionmentioning

confidence: 99%

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Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia

Alkhatieb,

Subke

2024

Cureus

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Background Artificial intelligence (AI) in healthcare is rapidly advancing, reshaping diagnostic, prognostic, and operational tasks in healthcare institutions. The adoption of AI among physicians is varied, with concerns over job loss, medical errors, and lack of emotional intelligence. This study aimed to assess physicians’ attitudes and perceptions toward AI in clinical practice in Jeddah, Saudi Arabia, and the factors affecting these attitudes and perceptions. Methodology A cross-sectional study was conducted among physicians at two major hospitals in Jeddah. An in-person digital survey consisted of questions regarding demographic characteristics, attitudes toward clinical AI, and perceptions of AI’s impact on healthcare. Results Of the 205 participants, 76% agreed on the accuracy of AI systems, and 60% acknowledged their efficiency as a factor that could influence their willingness to use clinical AI. However, only 25.9% reported using these systems in the past year, with the majority, 74.1%, indicating they had never used them. Notably, there was a significant association between gender and attitude toward AI, with males being more likely to have a positive attitude (p = 0.01). Conclusions While the majority of participants recognized the potential benefits of AI in healthcare, its actual utilization was low. The findings suggest the need for increased AI-related training and education among physicians and the fostering of collaboration between computer scientists, engineers, and medical professionals to accelerate the development of clinically relevant AI tools.

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