The integration of Artificial Intelligence (AI) in medicinal devices has emerged as a transformative force in revolutionizing healthcare. This comprehensive review explores the diverse applications of AI in medicinal devices, shedding light on its unprecedented impact on diagnostics, therapeutics, and healthcare management. The review begins by elucidating the significance of AI in the broader healthcare landscape, emphasizing its potential to enhance accuracy, efficiency, and patient outcomes. Methodologically, the review entails a systematic examination of literature, focusing on key databases and criteria for article selection. The exploration of AI applications in medicinal devices encompasses diagnostic and imaging advancements, where AI algorithms augment medical imaging interpretation, pathology analyses, and overall diagnostic precision. Furthermore, the review delves into therapeutic devices, revealing AI's role in personalized medicine, drug delivery optimization, and treatment customization. The discussion extends to monitoring and predictive analytics, demonstrating how AI contributes to real-time patient monitoring, disease prediction, and risk assessment. Navigating through challenges, the review addresses concerns such as data security, ethical considerations, and regulatory frameworks shaping the implementation of AI in medicinal devices. It balances the discourse by highlighting opportunities for future advancements and improvements, underscoring the potential for AI to redefine healthcare practices. Case studies embedded within the review provide tangible examples of successful AI applications in medicinal devices, offering concrete evidence of the technology's efficacy. The evolving regulatory landscape governing AI in medical devices is explored, providing insights into the current frameworks and potential avenues for standardization. In conclusion, this comprehensive review consolidates current knowledge on AI applications in medicinal devices, offering a panoramic view of the field's advancements.