Utilizing AI for Monitoring Sleep Disruption and Cognitive Decline Associated with Smartphone Addiction Among Nursing Students.

Abstract

The rapid increase in smartphone use, especially among young adults and students, has created notable challenges for mental health and cognitive well-being. For nursing students, who already face stress and irregular sleep due to their academic and clinical demands, smartphone addiction introduces an additional strain. This research investigates the possible role of Artificial Intelligence (AI) in tracking sleep disturbances and related cognitive decline associated with smartphone overuse in this at-risk group. Based on existing research regarding sleep issues, cognitive performance, and behavioral addiction, an important connection between excessive screen usage, irregular sleep patterns, and deteriorating academic and clinical performance among nursing students. The cognitive effects, such as diminished attention span and memory issues, are frequently overlooked but have a considerable impact on the students’ learning and caregiving skills. AI-driven monitoring solutions like wearable technology, sleep tracking apps integrated into smartphones, and machine learning models present encouraging alternatives for real time evaluation and personalized feedback. These technologies can examine and identify irregularities in sleep patterns, and foresee cognitive exhaustion based on usage statistics. Additionally,. By utilizing AI for ongoing monitoring and feedback, educational institutions can encourage healthier digital practices among nursing students, minimize the likelihood of long-term mental deterioration, and enhance overall academic success. This research emphasizes the significance. of incorporating AI based monitoring systems within nursing education to tackle the combined issues of digital addiction and cognitive decline. As smartphone addiction continues to rise, the implementation of Artificial intelligence has the capacity to greatly improve mental health resilience and maximize the cognitive abilities of future healthcare providers.