AI-driven healthcare for adolescents with cyber disorders

Cyber ​​syndrome, especially among adolescents, has become a critical public health problem due to the excessive and compulsive use of digital technologies, including smartphones, social media, and online gaming. This syndrome can lead to serious consequences such as sleep disruption, decreased academic performance, and increased incidence of mental disorders such as anxiety and depression. Adolescents are particularly susceptible due to their developmental stage, characterized by increased sensitivity to social stimuli and reward-seeking behavior. 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 offers a promising approach to this problem. AI can provide tailored interventions by analyzing individual usage patterns, emotional states, and behavioral trends, thus providing timely and personalized support to mitigate the effects of cyber syndrome among adolescents.

The aim of this Research Topic is to explore and highlight innovative AI-driven healthcare solutions specifically designed for adolescents suffering from cybersyndrome. The special issue aims to collect cutting-edge research and practical applications that use advanced AI algorithms to monitor and analyze technology use and emotional health in real-time, and provide personalized feedback and interventions. By addressing excessive digital consumption and its associated negative consequences, these solutions aim to promote healthier digital habits and improve overall well-being among adolescents. Ultimately, the goal of this special issue is to present scalable and effective strategies for the management of cybersyndrome in the adolescent population.

We appreciate your submission of articles related to the following topics:
● Internet addiction and AI-driven solutions: We are looking for articles that explore the use of artificial intelligence in identifying patterns of internet addiction and propose innovative interventions to limit its impact on adolescents’ daily lives.
● Gaming addiction: the role of AI in control and management: Contributions to exploring the potential of AI in recognizing signs of gaming addiction and providing tailored management strategies are encouraged.
● Social media addiction: AI preventive measures: We are interested in research that uses AI to predict and prevent social media addiction, with an emphasis on developing early warning systems and educational tools.
● Detecting and responding to cyberbullying: Articles discussing AI techniques for detecting cyberbullying and proposing effective response mechanisms to protect adolescent victims are particularly welcome.
● Smartphone dependency: therapeutic approaches to AI: We invite studies that investigate the therapeutic applications of AI in managing problematic smartphone use among adolescents.
● Combating online sexual exploitation with AI: research into AI systems designed to identify and prevent online sexual exploitation, including the development of protective algorithms and policies.
● Information Overload in the Digital Age: Coping Strategies of AI: Submissions are expected that explore how AI can help adolescents cope with information overload and improve digital literacy.
● Digital Anxiety: AI-Enhanced Psychological Support: Articles exploring the role of AI in providing psychological support to adolescents with digital anxiety, including the development of virtual counseling platforms.
● Cybercrime prevention: AI’s contribution to adolescent safety: We welcome research into AI systems that can predict and prevent victims of cybercrime, with a focus on fraud and identity theft.
● Digital self-harm: early detection and intervention through AI: studies using AI to identify and intervene in cases of digital self-harm, with the aim of providing timely support to adolescents at risk.

Keywords: Cyber ​​syndrome, health care, 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 refer an out-of-scope manuscript to a more appropriate section or journal at any stage of peer review.

Cyber ​​syndrome, especially among adolescents, has become a critical public health problem due to the excessive and compulsive use of digital technologies, including smartphones, social media, and online gaming. This syndrome can lead to serious consequences such as sleep disruption, decreased academic performance, and increased incidence of mental disorders such as anxiety and depression. Adolescents are particularly susceptible due to their developmental stage, characterized by increased sensitivity to social stimuli and reward-seeking behavior. 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 offers a promising approach to this problem. AI can provide tailored interventions by analyzing individual usage patterns, emotional states, and behavioral trends, thus providing timely and personalized support to mitigate the effects of cyber syndrome among adolescents.

The aim of this Research Topic is to explore and highlight innovative AI-driven healthcare solutions specifically designed for adolescents suffering from cybersyndrome. The special issue aims to collect cutting-edge research and practical applications that use advanced AI algorithms to monitor and analyze technology use and emotional health in real-time, and provide personalized feedback and interventions. By addressing excessive digital consumption and its associated negative consequences, these solutions aim to promote healthier digital habits and improve overall well-being among adolescents. Ultimately, the goal of this special issue is to present scalable and effective strategies for the management of cybersyndrome in the adolescent population.

We appreciate your submission of articles related to the following topics:
● Internet addiction and AI-driven solutions: We are looking for articles that explore the use of artificial intelligence in identifying patterns of internet addiction and propose innovative interventions to limit its impact on adolescents’ daily lives.
● Gaming addiction: the role of AI in control and management: Contributions to exploring the potential of AI in recognizing signs of gaming addiction and providing tailored management strategies are encouraged.
● Social media addiction: AI preventive measures: We are interested in research that uses AI to predict and prevent social media addiction, with an emphasis on developing early warning systems and educational tools.
● Detecting and responding to cyberbullying: Articles discussing AI techniques for detecting cyberbullying and proposing effective response mechanisms to protect adolescent victims are particularly welcome.
● Smartphone dependency: therapeutic approaches to AI: We invite studies that investigate the therapeutic applications of AI in managing problematic smartphone use among adolescents.
● Combating online sexual exploitation with AI: research into AI systems designed to identify and prevent online sexual exploitation, including the development of protective algorithms and policies.
● Information Overload in the Digital Age: Coping Strategies of AI: Submissions are expected that explore how AI can help adolescents cope with information overload and improve digital literacy.
● Digital Anxiety: AI-Enhanced Psychological Support: Articles exploring the role of AI in providing psychological support to adolescents with digital anxiety, including the development of virtual counseling platforms.
● Cybercrime prevention: AI’s contribution to adolescent safety: We welcome research into AI systems that can predict and prevent victims of cybercrime, with a focus on fraud and identity theft.
● Digital self-harm: early detection and intervention through AI: studies using AI to identify and intervene in cases of digital self-harm, with the aim of providing timely support to adolescents at risk.

Keywords: Cyber ​​syndrome, health care, 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 refer an out-of-scope manuscript to a more appropriate section or journal at any stage of peer review.