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🤖 Therabot AI Therapy Chatbot Matches In-Person Mental Health Treatment


NewBits Digest feature highlighting Dartmouth's groundbreaking clinical trial of the Therabot AI Therapy Chatbot—showcasing its success in reducing symptoms of depression, anxiety, and eating disorders, and its potential to transform mental health care with AI-powered support.

🧠 Groundbreaking Results from Dartmouth’s AI Therapy Study


A groundbreaking study from Dartmouth has brought mental health support into the AI age. In the first-ever clinical trial of a generative AI-powered therapy chatbot, researchers found significant symptom improvements in users — with some results rivaling traditional therapy.


📊 Key Findings from the Therabot AI Therapy Chatbot Trial


Therabot, the AI Therapy Chatbot developed at Dartmouth since 2019, was tested in a rigorous clinical trial involving 106 participants across the U.S. All participants were diagnosed with major depressive disorder, generalized anxiety disorder, or an eating disorder.


Over 8 weeks, users of the Therabot AI Therapy Chatbot experienced the following:


🌀 Depression


  • ✅ 51% average symptom reduction


  • ✅ Clinically significant mood improvements


😰 Generalized Anxiety


  • ✅ 31% average symptom reduction


  • ✅ Many moved from moderate → mild or below clinical diagnosis threshold


🍽️ Eating Disorders


  • ✅ 19% reduction in body image and weight concerns


  • ✅ Outperformed the control group significantly


Nearly 75% of Therabot users were not receiving any other form of treatment during the trial.


📱 How the Therabot AI Therapy Chatbot Works


The Therabot AI Therapy Chatbot interacts via a smartphone app, using open-ended, natural language conversation based on evidence-based practices in psychotherapy, especially Cognitive Behavioral Therapy (CBT).


  • Users can initiate conversations or respond to daily check-ins.


  • The system learns from ongoing interactions, adjusting its tone and prompts.


  • If high-risk content like suicidal ideation is detected, Therabot prompts users to call 911 or access a crisis hotline with a single tap.


Users averaged about 6 hours of engagement—roughly the equivalent of 8 traditional therapy sessions.


🤝 Real Trust, Real Conversations


Surprisingly, participants reported a “therapeutic alliance” with the Therabot AI Therapy Chatbot comparable to relationships with in-person providers.


“We did not expect that people would almost treat the software like a friend. That tells us they were actually forming relationships with Therabot,” — Nicholas Jacobson, Associate Professor of Biomedical Data Science and Psychiatry, Dartmouth

This bond was reflected in how often users initiated conversations and opened up about difficult feelings—especially during late-night hours, when in-person support is least available.


⚠️ Promise Meets Precaution


Despite its success, researchers stress that AI therapy must remain under close clinician oversight.


While the results are promising, no generative AI agent is ready to operate fully autonomously in mental health,” — Michael Heinz, Assistant Professor of Psychiatry, Dartmouth

The study team was prepared to intervene in real-time if users expressed acute safety concerns or if Therabot responded outside of best practices. Previous evaluations found that over 90% of Therabot’s responses aligned with professional therapeutic standards, which gave researchers confidence to move forward.


🧭 Looking Forward


This study positions the Therabot AI Therapy Chatbot as a powerful complement to traditional therapy — not a replacement. As the mental health care system struggles to meet demand, tools like Therabot could be key to reaching underserved populations.


“We’re talking about potentially giving people the equivalent of the best treatment available — anytime, anywhere,” — Nicholas Jacobson, Associate Professor of Biomedical Data Science and Psychiatry, Dartmouth

With growing interest in AI for healthcare, rigorous and safety-focused development will be essential. Dartmouth’s team is leading the way, proving that AI and human care can — and should — work hand-in-hand.



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