Refrences
1. Computer, E. (2024). Healing hands & AI minds: AI’s impact on healthcare. Express Computer. Retrieved from http://mutex.gmu.edu/login?url=https://www.proquest.com/trade-journals/healing-hands-amp-ai-minds-s-impact-on-healthcare/docview/2920800032/se-2
- This source examines the role of AI in healthcare, focusing on advancements in diagnostics, patient care, and medical technologies. It highlights AI's contributions to operational efficiency, decision support systems, and precision medicine. Ethical considerations such as bias in AI algorithms and their impact on patient outcomes are discussed. The article also evaluates the future potential of AI-driven healthcare and its adoption by medical institutions. This source provides a broad perspective on AI’s influence in the healthcare industry.
2. Weidener, L., & Fischer, M. (2024). Artificial intelligence in medicine: Cross-sectional study among medical students on application, education, and ethical aspects. JMIR Medical Education, 10. https://doi.org/10.2196/51247
- This study explores medical students' perspectives on AI applications in medicine and their readiness to integrate AI into clinical practice. It highlights gaps in AI education and the need for improved training in AI technologies. Ethical concerns, such as bias in AI models and patient safety, are analyzed. The research also examines students' confidence in AI-based decision-making and its role in supporting medical professionals. This study is valuable for understanding the future adoption of AI in healthcare education.
3. Mansoor, M. A., Ibrahim, A. F., & Kidd, N. (2024). The impact of artificial intelligence on internal medicine physicians: A survey of procedural and non-procedural specialties. Cureus, 16(9). https://doi.org/10.7759/cureus.69121
- This article examines how AI is transforming internal medicine by streamlining workflows and enhancing decision-making. It differentiates AI adoption across procedural and non-procedural specialties, emphasizing its effect on physicians' clinical efficiency. The research highlights challenges in AI implementation, including reliance on algorithms and potential job displacement. Additionally, it discusses physicians' perceptions of AI’s role in improving diagnostic accuracy. The study contributes to the broader understanding of AI’s role in various medical subspecialties.
4. Jebreen, K., et al. (2024). Perceptions of undergraduate medical students on artificial intelligence in medicine: Mixed-methods survey study from Palestine. BMC Medical Education, 24, 1-19. https://doi.org/10.1186/s12909-024-05465-4
- This mixed-methods study investigates medical students' awareness of AI applications in medicine. It explores both enthusiasm for AI’s potential and concerns about its ethical and professional implications. The research emphasizes the importance of incorporating AI education into medical training. Students' perspectives on AI’s impact on job security and patient interactions are also discussed. This source provides insights into the evolving role of AI in medical education and professional development.
5. Santamato, V., et al. (2024). Exploring the impact of artificial intelligence on healthcare management: A combined systematic review and machine-learning approach. Applied Sciences, 14(22), 10144. https://doi.org/10.3390/app142210144
- This article examines AI’s role in healthcare management, focusing on quality assurance, efficiency, and operational improvements. It discusses AI-driven healthcare systems and their application during the COVID-19 pandemic. Ethical concerns such as data privacy and security risks are also addressed. The research combines systematic reviews and machine-learning analyses to assess AI's overall impact on healthcare institutions. This source is essential for understanding AI’s influence on healthcare administration.
6. Huo, W., et al. (2025). When healthcare professionals use AI: Exploring work well-being through psychological needs satisfaction and job complexity. Behavioral Sciences, 15(1), 88. https://doi.org/10.3390/bs15010088
- This study explores the relationship between AI adoption and healthcare professionals’ job satisfaction. It examines how AI affects job complexity, work motivation, and psychological well-being. The research highlights both the benefits and challenges of AI in clinical environments, including stress reduction and role changes. Additionally, it considers AI’s impact on professional autonomy and work-life balance. This source provides valuable insights into the human factors associated with AI integration in healthcare.
Website Media Reference
Synthesia. (2025, April 15). AI-generated video [Video]. https://www.synthesia.io
-This video was generated by Synthesia and edited by Esther Obadare.
-My AI-created video on the legal concerns of AI in healthcare directly supports my paper, Artificial Intelligence in Healthcare: Impact, Challenges, and Future Prospects, by illustrating one of the core challenges discussed—regulatory and ethical issues. The video highlights potential liabilities and data privacy risks that arise when AI systems are involved in patient diagnosis and treatment. These concerns are a crucial part of my paper's section on legal and ethical implications. It visually emphasizes the urgency of establishing clear policies and accountability for AI decisions. This complements my paper by making abstract legal issues more tangible and engaging for viewers.
Unsplash. (2025, April 22). Photo from Unsplash [Photograph]. https://unsplash.com/
-This image was generated by Unsplash and edited by Esther Obadare.
-The picture of gloves represents the hands-on, clinical aspect of healthcare, which contrasts and interacts with AI technology in practice. In my paper, I discuss how AI assists healthcare professionals rather than replacing them, and gloves symbolize the human element still required in patient care. The image reminds the audience that, despite AI advancements, human oversight, empathy, and physical presence remain essential in healthcare. It visually supports my argument that AI should enhance—not replace—human roles. This balance between technology and human touch is a key theme in the paper’s discussion on AI integration.
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