# An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
## 4 Results of Overview
### AI Methodologies and Tools Utilized for Anxiety and Depression Management
#### 4.3.1 Mobile Apps  
The ratio of psychiatrists per inhabitant of the world is less than satisfactory. However, over 50% of the world's population now owns a smartphone [21]. Based on these data, many mobile applications have been designed in recent years which offer psychological support,  
Figure 4: Distribution of mental health Wearable Devices. Figure 3: Distribution of mental health Applications. breathing, and relaxation exercises, while collecting useful data on the health and well-being of users. Moreover, wearables, platforms, and mobile applications have integrated artificial intelligence technologies, hence creating new opportunities for diagnosing and treating symptoms related to these conditions. Mobile applications (apps) designed for mental health purposes have become readily available tools that provide regular monitoring of mental well-being and assistance [54]. These applications provide a convenient and often anonymous substitute for conventional medicinal methods. Mobile applications that use artificial intelligence for mental health rely on many data sources to provide personalized advice and assistance to their users. The inputs may consist of data provided by users via stress and mood questionnaires, as well as data obtained from wearables or mobile sensors that capture information such as heart rate, sleep habits, and activity levels. Applications that gather and analyze these data have the ability to detect trends and symptoms that signify a higher likelihood of experiencing anxiety or depression. Additionally, they may provide timely alerts or recommendations for intervention [11]. These applications have diverse applications and users, serving various purposes. They are utilized by individuals seeking self-help, medical professionals as supplementary tools in treatment, and researchers studying their efficacy [55]. Users are granted access to a diverse range of information and services, including regular monitoring of their mental well-being, recommendations for self-care activities, availability of crisis management tools, and participation in online support communities. Medical providers may use apps to remotely monitor their patients' development and offer them more personalized care [56]. Some examples of these applications are Sanvello, MindDoc, MoodMission, Ladder, Kintsugi, Calm, Roodt, and MindShift. Each of these programs provides users with a distinct range of features and methods to help them with their daily routines. Sanvello offers individuals personalized guidance and strategies to address feelings of melancholy and anxiety via the use of mindfulness, relaxation, and cognitive behavioral therapy. Users have the capability to regulate their mood and anxiety levels, enabling them to track their progress and obtain prompt feedback and suggestions [57]. MindDoc's main goal is to provide consumers thorough evaluations of their mental well-being via daily quizzes and progress reports. Utilizing this application may assist users in gaining a deeper comprehension of the variables that impact their mental well-being and identifying recurring trends in their emotional state. Consequently, this facilitates the development of effective coping mechanisms for disorders such as anxiety and depression [58]. Conversely, MoodMission recommends specific actions that users can take to alleviate their symptoms of anxiety and depression. Each \"mission\" is customized to the user's current emotions and requirements, thereby facilitating the immediate alleviation of symptoms and the cultivation of self-regulation abilities [38]. Ladder provides a structured program that assists users in establishing and achieving self-improvement objectives, while also offering guidance and support. This method assists users in integrating minor, daily modifications into their regimens, thereby enhancing their overall mental health [59]. Kintsugi employs machine learning technologies to analyze audio data of users' voices and detect indicators of anxiety and depression [59].