Knowledge-based systems for automatic ventilatory management.

In intensive care and anesthesia, the demand for computerized medical assistants is potentially considerable, to filter and synthesize the growing mass of clinical parameters and information available. The authors detail how knowledge-based computerized assistants can be constructed for automatic ventilation management and report clinical results obtained with such a system for closed-loop control of pressure support ventilation and decision for extubation.