Home Sleep Apnea Tests (HSAT) for the home-based assessment of Obstructive Sleep Apnea (OSA) may constitute a signifi cant alternative to polysomnography (PSG), which is conventionally performed in sleep laboratories. In recent years, there has been an increasing demand for out-of-laboratory sleep testing, driven by improved accessibility, enhanced patient comfort, and economic considerations. In this systematic review, we analyze the available scientific literature published between 2015 and 2025 concerning diagnostic devices intended for home-based OSA assessment, including specific device subtypes and software solutions utilizing artificial intelligence (AI) algorithms. The results of the analyzed studies indicate that many HSAT devices demonstrate sensitivity and specificity comparable to standard PSG in the detection of moderate and severe OSA. However, persistent limitations must be emphasized, including restricted measurement capabilities such as the absence of full electroen cephalography (EEG), electrocardiography (ECG), electromyography (EMG), or electrooculography (EOG) recordings in certain devices, as well as overall variability in the parameters recorded across different systems. Although HSAT devices are currently unable to fully replace conventional polysomnography, this review highlights their substantial potential in OSA diagnostics, par ticularly in settings with limited access to sleep laboratories. We also underscore the need for further research in this field and for standardization, especially regarding device specifications and measured parameters.