Assessing medication self-administration using AI

Computer/artificial intelligence researchers at MIT “present a contactless and unobtrusive artificial intelligence (AI) framework that can detect and monitor MSA (medication self-administration) errors by analyzing the wireless signals in the patient’s home, without the need for physical contact. The system was developed by observing self-administration conducted by volunteers and evaluated by comparing its prediction with human annotations. Findings from this study demonstrate that our approach can automatically detect when patients use their inhalers (area under the curve (AUC) = 0.992) or insulin pens (AUC = 0.967), and assess whether patients follow the appropriate steps for using these devices (AUC = 0.952). The work shows the potential of leveraging AI-based solutions to improve medication safety with minimal overhead for patients and health professionals.” MORE

Image Credit:  MIT and Nature.com