Citations from rapid review segment of Exploring Healthcare Providers' Expectations and Perceptions of AI Machine Learning Decision Tree Models in Healthcare
<p dir="ltr">List of sources included in the rapid review aiming at understanding how AI is perceived by healthcare providers and policymakers. Detailed description of referencing included below:</p><p dir="ltr">The rapid review of studies on the expected role a...
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2025
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| Summary: | <p dir="ltr">List of sources included in the rapid review aiming at understanding how AI is perceived by healthcare providers and policymakers. Detailed description of referencing included below:</p><p dir="ltr">The rapid review of studies on the expected role and effects of AI Machine Learning in clinical practice revealed 594 studies, with 35 included in the final review based on eligibility criteria. The literature highlighted several key themes. <b><i>Concerns about the security of patient data and privacy</i></b> were prevalent, emphasizing the need for proper regulation and validation of AI systems in healthcare [3, 4, 5, 6, 7, 8]. There were <b><i>fears that AI systems might provide advice without proper user understanding</i></b>, potentially lowering medical expertise, a phenomenon otherwise known as deskilling [2, 9, 10, 11]. Healthcare professionals argued that AI systems could not replace the human connection and that empathy was essential in patient care. AI is expected to <b><i>aid in increasing diagnosis accuracy and speed</i></b>, remaining consistent and unburdened by fatigue or personal factors [8, 12]. Additionally, AI could <b><i>facilitate personalized patient care paths</i></b>, improving outcomes and saving costs [9, 11, 13]. Expectations for AI reducing workload are mixed, depending on the healthcare professional's discipline [2, 4, 7]. AI systems are seen as essential for addressing the needs of an aging population, limited resources, and healthcare personnel shortages [2, 3, 11]. There is an emphasis on the need for <b><i>interdisciplinary collaboration</i></b> to ensure AI products meet end-user needs [2, 11, 14, 15].</p> |
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