AI Applications for Mental Health Support

Explore top LinkedIn content from expert professionals.

  • View profile for Amol Nirgudkar

    CEO at Patient Prism | Award-Winning AI | CPA, Innovator, Author & Speaker | Operationalizing AI-Led Digital Transformation & Growth

    24,605 followers

    1 in 5 U.S. adults live with a mental illness. (National Institute of Mental Health) ❗ And yet, few people have access to adequate mental health care and treatment. The application of AI to mental health therapy can potentially bridge the treatment gap. 💫 Digital phenotyping with AI has shown promise in expanding outreach for mental health care. This can benefit patients by: ✅ Addressing lack of mental health resources ✅ Initiating self-awareness of mental health conditions ✅ Improving patient communication Here’s how it works: 🔷 Data Collection. AI can process and analyze large datasets collected through digital devices to detect patterns and behavioral biomarkers indicative of mental health status. 🔷 Personalized Interventions. AI-driven predictive models can use individuals' specific behavioral patterns to identify their needs and intervene when necessary. 🔷 Remote Monitoring and Support. AI-powered support systems can provide automated support or recommendations for individuals in need, as well as trigger alerts for timely interventions by monitoring behavior. Digital phenotyping won’t just facilitate effective mental healthcare treatment; it will empower patients. What do you think? #artificialintelligence #mentalhealthcare #digitalphenotyping

  • View profile for Vineet Agrawal
    Vineet Agrawal Vineet Agrawal is an Influencer

    Helping Early Healthtech Startups Raise $1-3M Funding | Award Winning Serial Entrepreneur | Best-Selling Author

    48,209 followers

    Therabot just passed the world’s first clinical trial for an AI therapy chatbot. Developed by Dartmouth over 5 years, it’s already delivering real, measurable results that could change the face of mental health care. But it wasn’t always this way. When Therabot was first created, its early versions were a disaster: - One chatbot expressed suicidal thoughts. - Another blamed everything on your parents by question five. But the team at Dartmouth didn’t give up — they spent 3 years and 100+ people crafting custom training data from scratch to get it right. And it paid off. The results of the clinical trial? 👉 A 51% reduction in depression symptoms among participants. 👉 People with moderate anxiety saw their symptoms drop to “mild” levels. 👉 Some no longer met diagnostic criteria for anxiety or depression. 👉 And most surprisingly: Participants rated their connection to Therabot as equal to a human therapist. So what matters now? It works. It’s scalable. It’s always available, unlike human therapists who book months out. But if you ask me — I don’t believe it will replace human therapy anytime soon. However, with 70% of people around the world having no access to mental health care, Therabot might be their first real shot at getting the help they need. So the future of therapy won’t be 100% AI. But it could be AI-assisted, AI-augmented, and most importantly, AI-accessible. Because mental health care isn’t broken — it’s just undersupplied. And Therabot might not fix that overnight. But it’s the most science-backed step forward we’ve seen in years. So I’m hopeful. What’s your take on AI therapists? Could they be the solution for those who currently don’t have access to mental health care? #entrepreneurship #healthtech #AI #innovation

  • View profile for Rajni Jaipaul

    AI Enthusiast | Real-World AI Use cases | Project Manager

    7,206 followers

    How AI Is Quietly Saving Lives: A Breakthrough in Suicide Prevention 🧠💙 In a groundbreaking study from Vanderbilt University Medical Center, researchers have developed an AI system called VSAIL (Vanderbilt Suicide Attempt and Ideation Likelihood model) that could revolutionize suicide prevention. By analyzing routine medical records, VSAIL helps doctors identify patients at risk of suicide—even during visits unrelated to mental health. In real clinic tests, the system flagged just 8% of visits, but that small number made a big impact. 💡 Doctors were 10x more likely to screen for suicide risk when given interruptive alerts—proving how smart tech, when well-integrated, can make a real difference. 🔹 7,732 visits tracked 🔹 596 patients flagged 🔹 0 suicide attempts in the 30 days after screening This AI doesn’t replace doctors—it empowers them to start critical conversations that can save lives. With suicide rates on the rise, this research marks a hopeful step forward for mental health support in everyday medical care. Read here: https://lnkd.in/gki9wHmx #SuicidePrevention #MentalHealthAwareness #AIinHealthcare #VSAIL #HealthTech #HopeInAction #AIforGood

  • View profile for Matt Leta

    CEO, Partner @ Future Works | Next-gen digital for new era US industries | 2x #1 Bestselling Author | Newsletter: 40,000+ subscribers

    14,210 followers

    Can AI offer a shoulder to cry on? In a world where technology often feels impersonal, could AI truly offer empathy and support in mental health care? Dr. Alison Darcy, founder of Woebot Health, believes it can for its capability provide consistent, non-judgmental support. AI chatbots also create a new avenue while bridging the gap in mental health care accessibility. At this point, mental health AI like Woebot is addressing 3 critical gaps in mental health care: 1️⃣ Access 2️⃣ Immediate 24/7 support 3️⃣ Consistency But before we jump on the bandwagon, let's explore both the exciting possibilities and the limitations of AI in this field. Pros: 🚀 Its accessibility and scalability. AI-driven therapy can provide mental health services to everyone, regardless of geographic or financial barriers. ⚡ Its efficiency and convenience. AI can handle initial consultations, provide consistent support through text or phone, and manage routine follow-ups. 🔍 Data-driven insights. AI can analyze vast amounts of data to identify patterns and provide insights, potentially leading to more personalized and effective treatment plans. Cons: 💔 Lack of human connection. AI can only offer initial support. It lacks the ability to fully grasp the nuances of human emotions and experiences, which are crucial in therapy. ⚖️ Ethical and moral judgments. Navigating ethical dilemmas and ensuring compassionate care are areas where human judgment is essential. 🧠 Complex cases. AI is a valuable supplement but not a substitute for professional judgment and intervention, especially for complex cases that require personalized care. My take? The pros outweigh the cons and this innovation in mental health is truly fascinating. The future of mental health is likely a hybrid approach, with AI offering a supportive and accessible starting point, while therapists continue to provide personalized, expert care. It’s important to remember that the empathy and expertise of human therapists remain irreplaceable. 🧠 What are your thoughts on AI’s role in mental health? Let’s have an exchange in the comments section! #AI #Tech #Innovation #MentalHealth #EmpathyAI

Explore categories