Abstract

The purpose of artificial intelligence (AI) is to create an algorithm that functions autonomously to find the solutions to questions. This could be another problem because the deductions that AI can make lead to social biases and other selectivity issues that AI can generate. The social biases include negative statements to ethnic minority groups, gender biases, cultural biases, and much more. However, the research gap is the lack of information that contributes to the overall problem of this relationship with patients using AI in healthcare. Thus, the goal of this research is to comprehensively understand the interaction of AI users (patients who are in their mid or late-thirties, White, and live in the United States) specifically in clinical healthcare, to further develop an integrative theory of the usability for patients and AI. To ensure successful and patient-centered AI integration, several practical considerations must be addressed, with a strong emphasis on incorporating diverse perspectives. AI in healthcare should not be designed solely from a technological or medical standpoint but should integrate patient values and preferences, recognizing that these values vary across different demographic and experiential backgrounds. Regulations and development strategies must address patient concerns about AI’s role, potential risks, and impact on healthcare equity, with a focus on how these concerns may differ among diverse patient groups. A critical aspect of practical implementation is acknowledging and accounting for the diversity of patient perspectives. Patient perceptions of AI in healthcare are highly variable, influenced by factors such as age, gender, employment, personality, and cultural background. This diversity underscores the need for inclusive and representative approaches in gathering patient input to inform AI development. Understanding how different groups perceive the benefits and risks of AI, and tailoring implementation strategies, accordingly, is essential for equitable adoption. Overall, incorporating patient perspectives is paramount to the successful and ethical integration of AI in healthcare. By prioritizing transparency, fostering trust, and addressing patient concerns, healthcare systems can ensure that AI serves as a tool to enhance, rather than undermine, patient-centered care. The themes discussed in this research highlight the importance of understanding patient attitudes, addressing ethical considerations, and implementing practical strategies that align with patient values. As AI technologies continue to evolve, ongoing research and dialogue with patients will be essential to navigate the complex landscape and realize the full potential of AI in transforming healthcare for the better. Ultimately, the future of AI in healthcare depends on a holistic approach that places the patient at the center, ensuring that AI enhances empathy, autonomy, and the overall quality of care.

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