Applying artificial intelligence (AI) in healthcare presents a significant opportunity to improve public health in low- and middle-income countries (LMICs). However, the successful implementation of such technologies depends not only on these countries’ technical infrastructure but also on their cognitive readiness. This paper reviews the literature on local opinions regarding AI application in healthcare within Southeast Asian LMICs, a rapidly developing region. The review followed the PRISMA Extension for Scoping Reviews (PRISMA-ScR) methodology, using keyword search prompts to gather data from PubMed and Web of Science. Studies older than ten years and those not relevant to the topic were excluded. Three independent researchers conducted the review to minimize bias, with only articles deemed relevant by at least two reviewers included in the final analysis. A total of 13 articles were reviewed, and findings were categorized into three domains: (1) attitudes and satisfaction, (2) acceptance and readiness, and (3) beliefs, judgments, and concerns about AI in healthcare. The review provided insights from various stakeholders, including healthcare professionals and service users. Overall, stakeholders expressed favorable attitudes and high satisfaction with AI applications, with strong acceptance of its potential in healthcare. However, some clinicians and medical students felt unprepared in terms of AI knowledge and experience. While there was a consensus on AI’s future role in healthcare, concerns regarding job security and integration challenges were prevalent. This scoping review underscores the diverse opinions on AI implementation in healthcare in Southeast Asian LMICs and offers recommendations based on these findings.