Systematic review MedTech, and Artificial Intelligence

Abstract

Introduction: interest in the development of applications in medicine associated over artificial intelligence has grown substantially, due to the possibility of opening new immersive and interactive experiences that support different areas of diagnosis and treatment in relation to medical education. The Metaverse’s development and artificial intelligence have had a significant uptake in the medical field, with the advancement of technologies such as Big Data, 5G mobile networks and the Internet of Things. Objective: to explore the areas of medical breakthroughs with the emergence of artificial intelligence. Methodology: a systematic review was performed. A search was conduct in PUBMED and SCOPUS databases, together with the academic search engine Google Scholar. Search limits: publication period (January 2020 to January 2024) in the English language. Data was collected and analyzed by the Thematic Analysis Technique, using PRISMA Methodology. A total of 226 articles were found, after searching for doubles in the two bases, 75 documents were reviewed. Results: after performing the Thematic analysis, 3 categories were determined 1. Diagnostic and treatment; 2. Medical education; 3. Public Health and Ethics Conclusion: integrating virtual reality and augmented reality provides extensive possibilities in education and medical training. Artificial intelligence (AI) has an important role to play in solving the challenges facing healthcare around the world, so it is increasingly being used in various fields of medicine. The metaverse found that Lifelogging and Mirror-world have the potential for being an important part of developing equipment and applications regarding diagnosis and treatment of diseases in various medical specialties. This would include cardiology, ophthalmology, diagnostic imaging, as well as medical education, for simulation-based training. MedTech also considered the patient-centered and evidence-based medicine perspectives to integrate the most reliable scientific knowledge, alongside the clinical experience of healthcare professionals as well as the values, preferences, and particular circumstances of each patient. This aims to arrive at the best medical decision, which is shared with the patient, related to diagnostics and treatments

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