AI-Enabled Healthcare for Adolescents with Cyber Disorders

Cyber-syndrome, particularly among adolescents, has become a critical public health issue due to the excessive and compulsive use of digital technologies, including smartphones, social media, and online gaming. This syndrome can lead to severe consequences such as sleep disruption, reduced academic performance, and increased incidence of mental health disorders like anxiety and depression. Adolescents are especially susceptible due to their developmental stage, characterized by a heightened sensitivity to social stimuli and reward-seeking behaviors. Traditional interventions, which typically include educational and behavioral strategies, often lack the personalization and real-time responsiveness needed to be effective. The integration of Artificial Intelligence (AI) into healthcare presents a promising approach to this problem. AI can provide customized interventions by analyzing individual usage patterns, emotional states, and behavioral trends, thereby offering timely and personalized support to mitigate the effects of cyber-syndrome among adolescents.

The goal of this Research Topic is to explore and highlight innovative AI-enabled healthcare solutions specifically designed for adolescents suffering from cyber-syndrome. The special issue aims to gather cutting-edge research and practical applications that leverage advanced AI algorithms to monitor and analyze technology use and emotional health in real-time, providing personalized feedback and interventions. By addressing excessive digital consumption and its associated negative impacts, these solutions seek to foster healthier digital habits and improve overall well-being among adolescents. Ultimately, this special issue aims to present scalable and effective strategies for managing cyber-syndrome in the adolescent population.

We welcome article submissions addressing the following themes:
● Internet Addiction and AI-Driven Solutions: We seek articles that explore the use of artificial intelligence in identifying patterns of internet addiction and propose innovative interventions to mitigate its impact on adolescents' daily lives.
● Gaming Disorder: AI's Role in Control and Management: Contributions examining AI's potential in recognizing signs of gaming disorder and offering tailored management strategies are encouraged.
● Social Media Addiction: AI's Preventive Measures: We are interested in research that leverages AI to predict and prevent social media addiction, focusing on the development of early warning systems and educational tools.
● Cyberbullying Detection and Response: Articles that discuss AI techniques for detecting cyberbullying and propose effective response mechanisms to protect adolescent victims are particularly welcome.
● Smartphone Dependency: AI's Therapeutic Approaches: We invite studies that investigate AI's therapeutic applications in managing problematic smartphone use among adolescents.
● Combating Online Sexual Exploitation with AI: Research on AI systems designed to identify and prevent online sexual exploitation, including the development of protective algorithms and policies.
● Information Overload in the Digital Age: AI's Coping Strategies: Submissions that address how AI can assist adolescents in managing information overload and improving digital literacy are sought.
● Digital Anxiety: AI-Assisted Psychological Support: Articles exploring AI's role in providing psychological support for adolescents experiencing digital anxiety, including the development of virtual counseling platforms.
● Cybercrime Prevention: AI's Contribution to Adolescent Safety: We welcome research on AI systems that can predict and prevent cybercrime victimization, focusing on fraud and identity theft.
● Digital Self-Harm: AI's Early Detection and Intervention: Studies that utilize AI to identify and intervene in cases of digital self-harm, aiming to provide timely support to at-risk adolescents.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Classification
• Clinical Trial
• Community Case Study
• Data Report
• Editorial
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Policy Brief
• Registered Report
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Cyber-syndrome, healthcare, internet addiction

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.