Background: Polysomnography is continually advancing technically, with its applica-bility expanding across various fields. This narrative review aims to highlight its recent develop-ments, current applications, and future perspectives from a clinical point of view. Methods: Relevant articles written in English published from 2015 to 2024 were searched in PubMed and Google Scholar. Results: Polysomnography remains the gold standard test in sleep disorders but in certain categories of patients it is not very accesible. Some of the home sleep tests (HSAT) perform closely to PSG testing. Identifying REM movement disorders early is important because it is a predictor factor for developing neurodegenerative diseases. Artificial intelligence (AI) cаn be used for diаgnosis by integrаting АI in weаrаble devices for remote monitoring, using it for fаster аnd а more аccurаte scoring, аs well аs using it to offer рersonаlized treаtment for eаch individuаl. Polysomnography can play a pivotal role in diagnosing sleep related breathing disorders in reha-bilitation patients to offer treatment, help in the improvement of sleep quality and consequently, offer better rehabilitation outcomes. Conclusions: Polysomnography opens up numerous possi-bilities for investigating sleep disorders, providing a comprehensive understanding of an indi-vidual's sleep health, and improving the management of sleep-related disorders