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  • Artificial Intelligence for Mental Health and Mental . . .
    We reviewed 28 studies of AI and mental health that used electronic health records (EHRs), mood rating scales, brain imaging data, novel monitoring systems (e g , smartphone, video), and social media platforms to predict, classify, or subgroup mental health illnesses including depression, schizophrenia or other psychiatric illnesses, and
  • Enhancing mental health with Artificial Intelligence: Current . . .
    By exploring the progress, prospects, and potential pitfalls of integrating AI into mental health care, this review aims to underscore the significance of this fusion in addressing one of the most pressing health crises of our time
  • Evaluating Generative AI in Mental Health: Systematic Review . . .
    objectives: This systematic review aims to evaluate the current capabilities of generative artificial intelligence (GenAI) models in the context of mental health applications Methods: A comprehensive search across 5 databases yielded 1046 references, of which 8 studies met the inclusion criteria
  • The application of artificial intelligence in the field of . . .
    These studies reveal the diversity and scope of AI applications in mental health, ranging from emotional recognition and chatbot support to large-scale predictive models, illustrating AI’s role in advancing personalized and accessible mental health solutions
  • Exploring the Role of Artificial Intelligence in Mental . . .
    The rise of artificial intelligence (AI) heralds a significant revolution in healthcare, particularly in mental health AI's potential spans diagnostic algorithms, data analysis from diverse sources, and real-time patient monitoring
  • The Use of AI in Mental Health Services to Support Decision . . .
    The AI systems were used in health care, self-care, and hybrid care contexts, addressing a variety of mental health problems Three types of AI systems were identified in terms of decision-making support: diagnostic and predictive AI, treatment selection AI, and self-help AI
  • Applications of Artificial Intelligence in Mental Health Care
    Certain AI applications directly interact with patients, typically as adjuncts to clinician-provided care Examples include conversational agents (chatbots like Woebot or Wysa) using NLP to deliver psychoeducational content or structured exercises based on evidence-based principles like Cognitive Behavioral Therapy (CBT) (Abd-Alrazaq et al , 2020; Aggarwal et al , 2023)





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