Researchers at the University of Pennsylvania in the United States have developed an AI-based platform that allows epilepsy patients to interact with brain activity monitoring data via a smartphone app, report their symptoms and changes in sleep and mood, thereby helping to improve seizure monitoring and reduce false alarms.
Platform Tested on Epilepsy Patients
The American newspaper "The Washington Post" reported on Wednesday, citing a statement from the Perelman School of Medicine at the University of Pennsylvania, that researchers tested the platform on 13 adults who underwent continuous brain activity monitoring in the hospital's epilepsy monitoring unit. The study results were published in the scientific journal "Nature Medicine".
80% Reduction in False Alarms
The platform allowed participants to query electroencephalogram (EEG) data, report symptoms and changes in sleep and mood, and receive alerts and surveys via smartphones. This enabled the system to utilize patient feedback to improve data analysis. Tests involving re-analysis of the data showed an 80% reduction in false alarms after incorporating participant feedback.
Additional Studies Required
Researchers clarified that the results remain preliminary, as the trial was limited to a small group of patients, necessitating further studies to evaluate the platform's effectiveness and safety in daily use conditions. The research team pointed out the potential to expand the use of this technology in the future to include other medical devices, such as insulin pumps and cardiac devices, as well as some devices used in treating neurological disorders.
The study highlights the potential of AI to enhance patient interaction with medical devices and improve health monitoring. However, verifying the accuracy, effectiveness, and safety of these systems through broader studies remains a necessary step before widespread adoption, with continued need for medical supervision and alert accuracy verification.
Source: Syrian Arab News Agency (SANA)
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