Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Mindcare AI: Transforming Mental Health Support with AI
0
Zitationen
5
Autoren
2026
Jahr
Abstract
Mind Care AI is an AI-driven conversational agent designed to bridge the gap between unmet demand for mental health services and limited therapeutic resources. The platform combines advanced natural language processing (NLP), finetuned transformer models (Llama 3.2), cognitive-behavioural therapy (CBT) modules, and a reinforcement-learning personalisation layer to deliver real-time, evidence-based mental health support. In a four-week pilot study with 100 participants, the emotion detection module achieved an accuracy of 88 parcent and an F-score of 0.88. At the same time, user engagement metrics showed high repeat-usage rates and positive satisfaction scores. MindCare AI operates 24/7, addresses stigma through a discreet self-care coach interface, and follows a blended model of care that escalates users to professional counsellors when necessary. Privacy is ensured through AES-256 encryption and compliance with GDPR and HIPAA. Future work includes multimodal input, multilingual support, wearable integration, and deeper integration with clinical workflows. These results validate MindCare AI as a promising, scalable solution for democratising access to mental health support.
Ähnliche Arbeiten
Amazon's Mechanical Turk
2011 · 10.029 Zit.
The Transtheoretical Model of Health Behavior Change
1997 · 7.687 Zit.
COVID-19 and mental health: A review of the existing literature
2020 · 3.707 Zit.
Cognitive Therapy and the Emotional Disorders
1977 · 2.931 Zit.
Mental health problems and social media exposure during COVID-19 outbreak
2020 · 2.790 Zit.