Mechanical ventilation in ARDS: navigating the fine line with real-time monitoring

Acute respiratory distress syndrome (ARDS) is a heterogeneous and rapidly evolving condition in which mechanical ventilation must balance adequate gas exchange with lung protection and hemodynamic stability. Over the past decades, the traditional one-size-fits-all approach to ARDS management has been progressively replaced by precision strategies guided by patient-specific physiological characteristics. However, conventional ventilatory and hemodynamic management continues to rely on intermittent measurements that fail to capture the physiological fluctuations typical of ARDS. Recent advances, including sensor miniaturization, high-resolution continuous data acquisition, advanced waveform analysis, and expanded computational capabilities, now enable real-time assessment of respiratory mechanics and cardiopulmonary interactions. These technologies allow clinicians to track the dynamic interactions among ventilation, lung mechanics, and cardiovascular function, supporting more precise and timely adjustments in ventilatory support. Artificial intelligence systems can integrate these high-density data streams, enhance data quality assessment, and provide decision support; however, they also raise concerns regarding information overload and the need to ensure that outputs translate into meaningful, patient-centered decisions. This review summarizes recent advances in real-time monitoring of respiratory mechanics and cardiopulmonary interactions in ARDS, emphasizing how technological innovation is reshaping bedside physiological assessment and enabling a more precise, adaptive approach to ventilatory support.