AI-based patient monitoring for fall prevention in stroke patients: a pilot study at a Malaysian acute stroke unit

These findings suggest the system's potential in early detection and timely intervention. Study data demonstrated wide variability in patient mobility patterns, highlighting the need for individualized monitoring. The SMART AI patient sitter system's ability to deliver real-time alerts, ensure patient privacy, and reduce fall incidence demonstrates its value in improving stroke patient safety. Overall, this study supports the integration of AI-based monitoring tools in clinical settings to enhance patient care and reduce preventable incidents like falls.