Impact of Artificial Intelligence on Early Detection and Treatment of Diseases in Human Medicine

Abstract

Artificial intelligence (AI) has advanced significantly in medicine, impacting the detection and treatment of diseases by storing data and analyzing repetitive patterns. Currently, medical diagnoses often involve long waiting times and, in some cases, can generate false results, further prolonging the wait and negatively impacting treatments. The study systematically reviews the literature on the impact of AI on the diagnosis and treatment of diseases and health conditions. Initially, 1211 articles were obtained by searching the Scopus database, then, applying the inclusion and exclusion criteria, 14 articles most relevant to the study were identified. At the methodological level, the guidelines established by the PRISMA method were applied. The results show that AI can provide diagnoses with an accuracy of 84.7% to 98% and specificities of 50% to 100%. In addition, AI has significantly improved the accuracy of medical diagnoses, reducing the need for unnecessary procedures and enabling continuous monitoring of patients through IoT devices. This facilitates the work of healthcare professionals and contributes to more efficient and effective management of diseases and health conditions.