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AI in Mental Health
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The global AI mental health market is expected to grow from $92,153 million in 2023 to $10,334,000 million by 2032.
By leveraging advanced machine learning algorithms and data analytics, AI supports professionals in detecting, monitoring, and addressing mental health challenges with precision and speed.
Artificial Intelligence (AI) in mental health introduces tools like chatbots, behavioural analysis platforms, and emotion-detecting systems to revolutionise how we approach mental well-being.
It enhances emotional intelligence (EQ), intellectual intelligence (IQ), and social intelligence (SQ) while providing support for underserved communities and enabling personalised care.
#AIinMentalHealth #ArtificialIntelligence #MentalHealthCare #EmotionalWellbeing #MachineLearning
#AI_in_Mental Health: Key topics
00:00 - 01:05 Introduction
01:06 - 01:36 What is AI in Mental Health?
01:37 - 02:09 Market Growth and Impact
02:10 - 03:27 Applications of AI in Mental Health
03:28 - 04:54 Enhancing EQ, IQ, and SQ with AI
04:55 - 05:35 Challenges and Ethical Considerations
05:36 - 05:58 The Future of AI in Mental Health
05:59 - 06:26 Closure
#MentalHealthInnovation #DigitalHealth #AIForGood
Useful Links and Resources
About Dinis Guarda
By leveraging advanced machine learning algorithms and data analytics, AI supports professionals in detecting, monitoring, and addressing mental health challenges with precision and speed.
Artificial Intelligence (AI) in mental health introduces tools like chatbots, behavioural analysis platforms, and emotion-detecting systems to revolutionise how we approach mental well-being.
It enhances emotional intelligence (EQ), intellectual intelligence (IQ), and social intelligence (SQ) while providing support for underserved communities and enabling personalised care.
#AIinMentalHealth #ArtificialIntelligence #MentalHealthCare #EmotionalWellbeing #MachineLearning
#AI_in_Mental Health: Key topics
00:00 - 01:05 Introduction
01:06 - 01:36 What is AI in Mental Health?
01:37 - 02:09 Market Growth and Impact
02:10 - 03:27 Applications of AI in Mental Health
03:28 - 04:54 Enhancing EQ, IQ, and SQ with AI
04:55 - 05:35 Challenges and Ethical Considerations
05:36 - 05:58 The Future of AI in Mental Health
05:59 - 06:26 Closure
#MentalHealthInnovation #DigitalHealth #AIForGood
Useful Links and Resources
About Dinis Guarda
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