Artificial Intelligence (AI) is poised to reshape several roles within healthcare, particularly in diagnostic imaging and pathology. AI algorithms excel at analyzing medical images such as X-rays and MRIs, potentially reducing the need for radiologists in preliminary screenings. In pathology, AI can aid in the analysis of tissue samples, potentially automating routine tasks traditionally performed by pathologists. Moreover, AI-powered diagnostic tools can process vast amounts of patient data to assist in diagnosing diseases, potentially impacting roles of physicians and specialists involved in diagnostic evaluations. Administrative tasks like appointment scheduling and managing electronic health records (EHRs) can also be streamlined by AI, affecting roles in healthcare administration. While AI holds promise in enhancing efficiency and accuracy in healthcare, it is unlikely to replace healthcare professionals entirely. Human factors such as complex decision-making, empathy in patient care, and ethical considerations are crucial aspects where human expertise remains indispensable. Therefore, AI is more likely to augment healthcare professionals’ capabilities rather than replace them completely, leading to a future where collaboration between AI and healthcare professionals enhances overall patient care and operational effectiveness.