Comparative evaluation of technological tools based on Artificial Intelligence for disease monitoring.
DOI:
https://doi.org/10.33936/isrtic.v8i1.6325Keywords:
Health, Technology, Artificial Intelligence, Disease, PatientAbstract
Healthcare is undergoing an unprecedented revolution thanks to advances in informatics, artificial intelligence (AI) and telemedicine. In this context, chatbots have become innovative tools that transform traditional medical practices by offering personalized care and instant guidance. This challenges the conventional approach to disease monitoring, which historically used to rely on scheduled medical visits and manual data collection. This study focuses on comparatively evaluating AI-based technology tools designed for disease monitoring. Adopting the PRISMA 2020 method, a comprehensive literature review and meta-analysis of relevant studies was conducted. This methodological approach enabled an accurate analysis of the efficacy, accuracy and feasibility of specific chatbots such as GYANT, Babylon Health, EDAChatbot, Med-PaLM, Symptomate and Buoy Health. The results obtained reveal the positive impact these technologies have on improving healthcare. They also provide a solid roadmap for their future development and adoption. It is essential to emphasize that the implementation of these technologies should be carried out without neglecting fundamental ethical principles, such as the protection of privacy and patient autonomy. In terms of specific findings, the EDAChatbot, Buoy Health and Symptomate chatbots were found to excel in several respects.
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Copyright (c) 2024 Oscar Efrén Cárdenas Villavicencio , Milton Rafael Valarezo Pardo, Freddy Aníbal Jumbo Castillo, Juan Andrés Jaramillo Barreiro
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