The adoption of a new medical device among many providers is a difficult decision. The devices must meet specific requirements. Computed Tomography (CT) scanners are commonly used for clinical diagnosis in most hospitals. CT scan technology reveals information about structure and function of a body organ or even cells and tissues based on a single imaging session. Many providers for CT scan technology exist today such as GE, SIEMENS, PHILIPS, and TOSHIBA. CT scanners produced by different providers have different characteristics, prices, repair service, warranties and additional charges for extended maintenance contracts or warranty plans. These factors were not considered by most of the current researches. Furthermore, there are no studies on selecting CT scanners based on multi-criteria decision making. This research uses an Analytic Hierarchy Process (AHP) along with Monte Carlo simulation to select the best CT scanner for a local hospital based on hospital requirements, customer requirements, and technical issues. The results will provide the decision makers in the local hospital with useful insights into making accurate decisions.