AI-Powered Robotic Rehab with Metabolic Feedback for Critically Ill Patients

Narrative review: AI-driven rehabilitation robots with closed-loop metabolic sensing may individualize therapy in critically ill pulmonary patients, potentially optimizing oxygen use and glucose metabolism. However, clinical validation is lacking.

• This is a narrative review, not a clinical trial; it synthesizes recent technical advances in AI robotics and metabolic monitoring.
• The proposed systems use multimodal physiological sensing and adaptive machine learning to provide dynamic, individualized rehab.
• Current evidence is heterogeneous, and well-designed clinical studies are needed to confirm reproducibility and efficacy.

RadPigeon summaries are original and for information only. They are not clinical advice.