Postoperative respiratory compromise represents a significant health care burden in terms of increased morbidity and mortality along with increased length of hospital stay and cost of care.

Over the past decade, AI machine learning and deep learning have greatly improved alarm monitoring through faster, more reliable alarm verification; yet, in practice, AI has often fallen short of its ...

Phillip Zmijewski explores how AI-driven cardiac monitoring, intended to reduce noise, creates a new "trust fatigue" for clinicians. Success depends on blending algorithmic speed with human judgment.

CHICAGO - Constantly beeping alarms from devices that monitor the vital signs of the critically ill have "desensitized" hospital workers who sometimes ignore the noise, leading to at least two dozen ...