This paper explores the integration of AI in healthcare, focusing on its opportunities and challenges. The article presents multiple opportunities for integrating AI in healthcare, from diagnostic assessment to reduced burnout rate. The paper synthesizes empirical evidence and literature reviews of various scholarly sources. Relevant sources on AI adoption in healthcare were used. The sources used were reviewed for trustworthiness and consistency. Only sources from reputable publications such as google scholar were used. Numerous articles state that Artificial Intelligence (AI) has brought new opportunities for diagnosis accuracy, efficient workflow processing, and improved patient care. AI has improved innovation in healthcare and enhanced clinical decision support systems. With the increased adoption of AI, research shows that it is now easier to offer personalized treatment. Also, the article provides findings on the challenges of AI integration in healthcare. While AI may have a prominent role in the healthcare sector, there are a lot of issues surrounding its adoption. Several studies indicate that AI adoption presents ethical and legal issues like patient privacy. Technical limitations, variability in risk attentiveness across different healthcare locations, and the necessity to have reliably functioning IT infrastructure showcase the need to overcome the technical barriers to AI implementation in healthcare. There is a need to develop high-quality and diverse data sets to ease data sharing and increase accuracy and consistency in healthcare decision-making. Artificial intelligence electronic tools such as telemedicine and remote patient monitoring increase the risk of data access by unauthorized parties. Healthcare organizations must foster a culture of accountability to ensure that healthcare providers are sensitive to the sharing of patient data.

Bongs Lainjo, MASc (Engineering), is a distinguished independent researcher whose work bridges the critical intersection of IT and AI with a strong focus on healthcare and academia. With over 100 articles published on artificial intelligence, his groundbreaking research has been presented at numerous national and international conferences, cementing his reputation as a thought leader. Bongs' career includes prestigious roles, such as a Senior Advisor to the United Nations, where he provided expert guidance on program management, Reproductive Health Commodity Security (RHCS), and evaluation. USAID also sought his expertise, where he served as a logistics and management information systems advisor, contributing to global public health initiatives. Additionally, he was chief of party/senior data management advisor at Columbia University, New York. With over a decade of experience as a professor at top Canadian Academic Institutions, Bongs has influenced countless students and colleagues. His global career has taken him across Africa, the Pacific Islands, Asia, and the United States, enriching his knowledge and perspectives. Beyond his academic articles, Bongs is also the author of three books, further showcasing his commitment to advancing knowledge in his areas of expertise. His contributions continue to shape the fields of AI.