The Role of Telemedicine and Artificial Intelligence in Transforming Healthcare

Background: Telemedicine, or remote medicine, refers to the provision of healthcare services and medical activities, including assessment, diagnosis, and treatment of patients remotely by healthcare personnel using modern technologies and artificial intelligence. Research indicates that of the ۴۰۰ million primary healthcare services in the United States in ۲۰۱۶, ۷۳% were suitable for delivery via telemedicine. The primary goal of utilizing artificial intelligence in medicine is to enhance physicians' decision-making and reduce human error, although this technology cannot completely replace human involvement. According to the American Medical Association, ۷۵% of physician visits are either unnecessary or can be conducted through telemedicine. With the increasing population, particularly among the elderly, and the need for social distancing and access to medical services in remote areas, the significance of telemedicine and artificial intelligence is increasingly recognized. This article examines the relationship between telemedicine and artificial intelligence and their impact on transforming healthcare delivery and improving patients' quality of life. Materials and Methods: This systematic review was conducted based on the PRISMA protocol. A search for articles published between ۲۰۱۱ and ۲۰۲۳ was performed in databases such as PubMed, Google Scholar, ScienceDirect, and Wiley Online Library. The keywords "telemedicine," "artificial intelligence," "remote medicine," and "healthcare" were utilized. Relevant articles were selected and analyzed to assess the existing evidence regarding the impact of telemedicine and artificial intelligence on the transformation of healthcare. Results: The review of the articles revealed that changes in the age structure of the population and the prevalence of chronic diseases have created significant challenges in the healthcare sector. Artificial intelligence in telemedicine can predict and diagnose disease risks and provide appropriate treatments using demographic, laboratory, and imaging data. This technology significantly reduces human error in diagnosis and treatment and can save lives through early disease detection. Studies indicate that artificial intelligence techniques, such as Support Vector Machines and machine learning algorithms, surpass physicians in the rapid and accurate diagnosis of diseases. Additionally, technologies such as iris photography and iridology provide the general public with the means for early detection of chronic diseases. In situations where elderly individuals avoid healthcare due to fears of viral infections, electronic visits as part of telemedicine can assist in managing these vulnerable populations. These findings highlight the critical role of telemedicine and artificial intelligence in transforming healthcare and improving patients' quality of life. Conclusion: The results indicate that telemedicine services and the use of artificial intelligence in medicine are effective and cost-efficient methods for preventing chronic diseases. However, these services require further examination, development, and enhancement. Medical professionals must also adapt to these advancements to provide better healthcare to the community. It is hoped that telemedicine and artificial intelligence will be utilized as primary tools for delivering healthcare services in the future.

کلیدواژه ها:

Telemedicine ، Artificial Intelligence ، Remote Medicine ، Healthcare