has spurred investments and innovation on the eHealth front, which will likely continue to benefit the healthcare system [3]. Although telemedicine was previously seen as a detached form of the doctor-patient relationship and as a complication in carrying out activities, it has now gained a prominent position among the tools useful for empowering the welfare network. Examples of the correct and functional use of \"enabling technologies\" in the healthcare sector [4] include the applications of artificial intelligence and machine learning in \"ICUs\" [5] for the control of patients in intensive care and of machine learning in the \"ER\" [6] for the classification of the severity of a patient's situation upon arrival. Regarding remote control [7] and the possibility of \"remote visits\", telemedicine has successfully incorporated the already widespread \"mobile\" technologies, creating a new trend for eHealth, namely mHealth (or mobile Health). Among the applications in this sense, there are correct applications for treating patients in parenteral nutrition, professional sportsmen undergoing continuous visits, and patients with chronic kidney disorders [8]. Among the indicators of the success of these applications, there are parallels with the user-centered model. According to this model, during the conception of telemedicine systems and the creation of applications connected to it, it is necessary to translate the final goal from the \"customer\" to the \"user\", prioritizing the patient's needs over market needs. Based on the observations made during the COVID-19 pandemic, the lack of infrastructure for telemedicine services, particularly in healthcare and care services, is a pressing issue. However, investments in improving healthcare infrastructure have led to the implementation and expansion of telemedicine, which has proven to be beneficial during the pandemic. Telemedicine has enabled remote consultations, which has reduced the risk of infection for both patients and healthcare workers. Additionally, it has allowed for the efficient allocation of medical resources and the continuation of medical services in remote areas that are difficult to access. Despite the benefits of telemedicine, its adoption is not without limitations, including issues related to internet connectivity, the need for proper training of healthcare providers, and the challenges of diagnosing and treating patients remotely. Nonetheless, the pandemic has led to investments and innovation in the eHealth sector, which will likely continue to benefit the healthcare system. The use of enabling technologies, such as artificial intelligence and machine learning, in the healthcare sector has been successful, particularly in the cases of application in ICUs and ERs. Remote control and the possibility of remote visits have been successfully incorporated into telemedicine, creating a new trend known as mHealth. The use of mHealth has been successful in treating patients with parenteral nutrition, professional sportsmen undergoing continuous visits, and patients with chronic kidney disorders. Involving users in the early stages of designing healthcare systems has many benefits, including identifying any unmet needs of the system, developing better usability and desirability of the system, facilitating an understanding of the users' goals, and generating trust. However, current methods and inclusion models involve user participation only during the prototype testing stages. This lack of involvement can be traced to reasons such as power dynamics, poor value perception, lack of resources, distrust, and inflexibility [9]. In light of this evidence, this review aims to analyze new modeling approaches in telemedicine for sports nutrition management through literature revision. This will present open research challenges and recommendations for future research on new applications of technologies in telemedicine for both the industrial and academic sectors.