Artificial Intelligence (AI) holds transformative potential to revolutionize healthcare delivery and outcomes. However, the literature suggests that focusing solely on AI algorithms leads to low adoption rates. AI needs to be introduced systematically into healthcare. This paper builds on this approach and synthesizes existing literature and authors’ insights to critically examine the current landscape and future opportunities for systematic AI support in healthcare. The multifaceted applications of AI, ranging from disease prediction to personalized medicine, are explored with a focus on AI’s potential to optimize employee performance, alleviate healthcare staff burdens, and enhance patient care. However, challenges such as limited access to unbiased data sets, connectivity issues, and ethical concerns pose significant barriers to AI adoption in healthcare.