Abstract
Purpose: This study examines the impact of artificial intelligence (AI) on professional empowerment in the medical sector. It assesses AI application level, evaluates professional empowerment, examines the relationship between AI utilization and empowerment, and proposes strategies to enhance empowerment, including improved AI integration, training programs, and supportive work environments.
 
 Theoretical framework: The theoretical framework focuses on the relationship between AI applications and professional empowerment in the medical sector. It incorporates AI adoption theory, empowerment theory, motivation theories, technology acceptance models, and social cognitive theory. The framework explains how AI enhances professional empowerment by enabling employees to make informed decisions, acquire new skills, and engage in decision-making processes. It also highlights the role of AI in fostering a sense of purpose and fulfillment within the workforce.
 
 Design/Methodology/Approach: This study uses a descriptive analytical research design to examine the impact of AI applications on professional empowerment in the medical sector. A structured questionnaire is used to collect data on participants' perceptions of AI application levels, professional empowerment dimensions, and demographic variables. The study adheres to ethical guidelines and uses descriptive and inferential statistics to analyze the data.
 
 Findings: The study reveals an average level of AI application in the medical sector, with common applications like diagnostic algorithms and predictive analytics. AI-driven tasks contribute to moderate motivation and access to training and learning opportunities. The study also highlights the positive impact of AI on professional empowerment, highlighting the need for strategic implementation of AI technologies to enhance workforce empowerment and patient outcomes.
 
 Research, Practical & Social Implications: The study reveals an average level of AI application in the medical sector, with common applications like diagnostic algorithms and predictive analytics. AI-driven tasks contribute to moderate motivation and access to training and learning opportunities. The study also highlights the positive impact of AI on professional empowerment, highlighting the need for strategic implementation of AI technologies to enhance workforce empowerment and patient outcomes.
 
 Originality/Value: This study explores the relationship between AI applications and professional empowerment in the medical sector. It provides empirical evidence on the impact of AI adoption on professional empowerment, offering practical guidance for healthcare organizations. The study also highlights the broader social implications of AI-driven professional empowerment in healthcare.
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