This paper presents the findings of an exploratory survey (N=15) investigating public perceptions and understanding of Artificial Intelligence (AI) in healthcare. The survey examined prior experience with AI, preferred applications, concerns, perceived importance of explainability, trust, opinions on AI as a first point of contact, necessity of human oversight, data access preferences, and views on regulation. Quantitative analysis revealed that a majority of respondents (80%, 12/15) expressed concerns about the accuracy of AI-generated recommendations, while 60% (9/15) highlighted concerns regarding privacy, lack of human oversight, and ethical considerations. A strong preference for human oversight emerged, with 53.3% (8/15) of respondents indicating that AI decisions should always require final human approval. Thematic analysis of qualitative responses identified two distinct user personas: "AI Enthusiasts" (33.3%, 5/15) and "AI Skeptics" (66.7%, 10/15). Enthusiasts were more open to AI’s potential benefits in efficiency and accessibility, while Skeptics emphasized concerns about accuracy, ethical risks, and diminished human interaction. Although the small sample size limits generalizability, these findings are presented and highlight the need for larger-scale studies. The results underscore the critical importance of addressing public concerns regarding transparency, accuracy, ethical considerations, and human oversight in the development and deployment of AI healthcare applications.