# Evaluation of AI-Assisted Telemedicine Service Using a Mobile Pet Application
## 6 Conclusions  
This study makes several academic contributions and has practical implications for telemedicine. First, preceding studies confirmed that non-face-to-face treatment can be a good solution to medical problems in an environment in which it is not possible to easily visit hospitals or health centers due to the recent COVID-19 pandemic. In particular, as evidenced in studies from many major countries, patients with underlying diseases have more vulnerable immune systems, which could positively impact the introduction of telemedicine. Second, we conducted a survey among users of a commercialized mobile app service that provides pet telemedicine services and measured the adoption period of companion animals, their health status, ease of use of mobile apps, and positive and negative perceptions about telemedicine services to test the hypotheses. As a result of the statistical test, as explained by [PERSON]'s prospect theory, users with negative perceptions about pet telemedicine were found to have significant negative perceptions about telemedicine for humans. However, in the case of people with positive perceptions, no significant conclusions were reached. This is generally consistent with the notion that people have a greater intensity of negative than positive perceptions. In other words, the concept transfer of negative recognition was much larger than that of positive recognition. Third, as explained by the additional hypotheses, people's perceptions about telemedicine differed according to the severity of their companion animal's disease. Substituting this with telemedicine for people, we can expect it will be much more effective to apply telemedicine to mild patients than to the severely ill. In addition, in light of the fact that the degree of ease of use of mobile apps acts as a moderating effect on the perceptions about telemedicine services, we can conclude that applying telemedicine to young people rather than middle-aged people will be quite useful in changing negative perceptions. Moreover, if we apply the recent AI-based medical apps to telemedicine, this will have a positive effect on the change in people's perceptions.  
The practical implications of this study are as follows: First, it investigates the possibility of introducing telemedicine to humans by analyzing the pet telemedicine mobile app service. It can also have a positive effect on the future medical paradigm change and bring about a gradual improvement of the legal system. Second, it was found through comparative studies that the medical field's service app platforms are very poor compared to those of other industries, which we have highlighted as a problem. In fact, even a price comparison app of a fairly well-known veterinary hospital reveals poor information in a specific region, reflecting the weak status of the platform to member companies. These platforms need constant improvement. Third, it has been found that remote medical care can attract high-quality services by investing a small amount of time and money for residents in blind spots where access to medical institutions is difficult. In particular, in mild cases, this effect can be maximized; future legalization of telemedicine should consider this aspect. Finally, we hope that this study could help solve the conflict between the government and medical associations over telemedicine.  
Conceptualization, Y.S.; data curation, S.H. and J.K.; formal analysis, S.H., Y.S., and J.K.; funding acquisition, J.K.; methodology, S.H. and J.K.; project administration, J.K.; resources, J.K.; software, S.H. and Y.S.; validation, Y.S.; writing--original draft preparation, S.H. and J.K.; writing--review and editing, J.K. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The authors declare no conflict of interest.