Obstructive sleep apnea (OSA) remains a significantly underdiagnosed condition, despite its high prevalence. Primary care physicians play a pivotal role in identifying patients afflicted by this condition. To effectively diagnose OSA in primary care, increasing awareness and enhancing communication are imperative. Fortunately, several straightforward diagnostic tools are readily available, and even more sophisticated ones, driven by artificial intelligence, are on the horizon.