Ventilator Management

Lung Protective Strategies

Tidal Volume Optimization

Driving Pressure

class VentilatorController:
    def __init__(self, ibw):
        self.ibw = ibw
        self.target_vt = 6 * ibw / 1000  # mL to L

    def compute_settings(self, compliance, resistance):
        vt = min(self.target_vt, 0.7)  # max 700mL
        peep = self._optimal_peep(compliance)
        fi = self._compute_fio2(peep)
        return {'V_T': vt, 'PEEP': peep, 'FiO2': fi, 'RR': 16}

    def _optimal_peep(self, compliance):
        if compliance < 30: return 14
        elif compliance < 50: return 10
        return 5

Auto-Tuning Parameters

Adaptive Control

Reinforcement Learning for Ventilator Settings

ARDS Prediction

Berlin Definition Compliance