Exploring digital therapeutics for mental health: AI-driven innovations in personalized treatment approaches DOI Creative Commons

Aisha Katsina Isa

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 24(3), P. 2733 - 2749

Published: Dec. 30, 2024

Digital therapeutics have emerged as a transformative approach in addressing mental health challenges, offering evidence-based, technology-driven interventions. As disorders become increasingly prevalent globally, traditional methods of treatment often fail to meet the growing demand due limited accessibility, stigmatization, and resource constraints. leverage advanced technologies, including artificial intelligence (AI), bridge these gaps, providing scalable personalized solutions. AI has revolutionized this domain by enabling adaptive, data-driven interventions that cater individual needs, ranging from mood complex conditions like post-traumatic stress disorder (PTSD) depression. At broader level, digital represent paradigm shift healthcare, transitioning generalized care models highly proactive frameworks. AI-driven innovations, such natural language processing (NLP), predictive analytics, machine learning algorithms, enhanced efficacy tools facilitating real-time monitoring, symptom analysis, tailored therapeutic recommendations. These innovations integrate seamlessly with wearables, mobile applications, virtual reality, patients accessible engaging platforms for management. However, while AI-based show immense promise, challenges remain. Ethical concerns about data privacy, bias equitable access need be addressed maximize their potential. Additionally, integrating into existing healthcare systems requires alignment regulatory frameworks clinician support. By narrowing focus approaches, paper explores how can advance care, actionable insights creating more inclusive, effective,

Language: Английский

Exploring digital therapeutics for mental health: AI-driven innovations in personalized treatment approaches DOI Creative Commons

Aisha Katsina Isa

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 24(3), P. 2733 - 2749

Published: Dec. 30, 2024

Digital therapeutics have emerged as a transformative approach in addressing mental health challenges, offering evidence-based, technology-driven interventions. As disorders become increasingly prevalent globally, traditional methods of treatment often fail to meet the growing demand due limited accessibility, stigmatization, and resource constraints. leverage advanced technologies, including artificial intelligence (AI), bridge these gaps, providing scalable personalized solutions. AI has revolutionized this domain by enabling adaptive, data-driven interventions that cater individual needs, ranging from mood complex conditions like post-traumatic stress disorder (PTSD) depression. At broader level, digital represent paradigm shift healthcare, transitioning generalized care models highly proactive frameworks. AI-driven innovations, such natural language processing (NLP), predictive analytics, machine learning algorithms, enhanced efficacy tools facilitating real-time monitoring, symptom analysis, tailored therapeutic recommendations. These innovations integrate seamlessly with wearables, mobile applications, virtual reality, patients accessible engaging platforms for management. However, while AI-based show immense promise, challenges remain. Ethical concerns about data privacy, bias equitable access need be addressed maximize their potential. Additionally, integrating into existing healthcare systems requires alignment regulatory frameworks clinician support. By narrowing focus approaches, paper explores how can advance care, actionable insights creating more inclusive, effective,

Language: Английский

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