This research paper explores the integration of artificial intelligence (AI) into healthcare to improve accessibility and efficiency, particularly in the aftermath of the COVID-19 pandemic. It addresses issues like delays in healthcare due to stressed systems, time-consuming diagnostic processes, and equipment limitations. The focus is on examining how AI can enhance diagnostic speed and accuracy. Ethical concerns and financial barriers related to AI implementation are acknowledged, with an intent to propose solutions. The literature review underscores ethical challenges, biases in AI data, and financial constraints, while also highlighting potential benefits in terms of faster and more accurate diagnostics.