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Phase 2 RCT finds AI-coached therapy improves depression and anxiety symptoms versus waitlist

Phase 2 RCT finds AI-coached therapy improves depression and anxiety symptoms versus waitlist
Photo by Markus Winkler / Unsplash
Key Takeaway
Consider AI-coached PST as a potential non-inferior alternative to human coaching for symptom relief in depression/anxiety, pending larger trials.

This phase 2 randomized controlled trial enrolled 200 adults with clinically significant depression and/or anxiety at a university medical center in Chicago. Participants were assigned to receive Lumen-coached problem-solving treatment (PST) via Amazon's Alexa platform, human-coached PST via videoconferencing, or a waitlist control. The primary outcome, change in right dorsolateral prefrontal cortex (R dlPFC) activity, did not differ significantly between treatment arms. The study followed participants for 18 weeks.

Compared to the waitlist control, Lumen-coached PST led to significantly greater improvements in symptoms of psychological distress (between-group mean difference = -3.56, 95% CI [-5.69, -1.43]), depression symptoms (mean difference = -1.15, 95% CI [-2.25, -0.04]), and anxiety symptoms (mean difference = -2.43, 95% CI [-3.72, -1.14]). It also improved patient-reported problem-solving abilities, worry, affect, disability, and work productivity. However, it did not significantly improve secondary neural targets or dysfunctional attitudes versus waitlist.

Crucially, there were no significant differences on any measure between Lumen-coached PST and human-coached PST, suggesting non-inferiority for symptom outcomes. For both active treatments, improved problem-solving abilities correlated with improved symptoms. Safety and tolerability data were not reported. Key limitations include the phase 2 design, the lack of reported absolute numbers and effect sizes for many outcomes, and the single-site setting. The results are promising but preliminary, indicating that AI-coached PST may be a viable alternative to human coaching for symptom reduction, though its neural mechanism remains unclear.

Study Details

Study typeRct
Sample sizen = 100
EvidenceLevel 2
PublishedApr 2026
View Original Abstract ↓
Importance: Artificial intelligence (AI) voice applications may address unmet depression and anxiety treatment needs. However, their therapeutic utility is largely unknown. Objective: To investigate the mechanisms and efficacy of a voice-based AI coach, Lumen, delivering problem-solving treatment (PST) for depression and anxiety. Design: Phase 2, 3-arm randomized trial. Setting: A public university and affiliated medical center in Chicago, IL. Participants: Adults with clinically significant depression and/or anxiety were randomized to Lumen-coached PST (n=100), human-coached PST (n=50), or waitlist control (n=50) for 18 weeks. Interventions: PST was delivered by Lumen on Amazon's Alexa platform or a human coach via videoconferencing in 4-weekly and then 4-biweekly sessions. Main Outcome(s) and Measure(s): Change in activation of the right dorsolateral prefrontal cortex (R dlPFC) for cognitive control using functional neuroimaging was the primary mechanistic target measure. Symptom outcomes were assessed using Hospital Anxiety and Depression Scale. Other secondary measures included left dlPFC and bilateral amygdala activation and patient-reported problem-solving abilities, dysfunctional attitudes, worry, positive and negative affect, disability, and work productivity. Statistical analyses used t-tests and ordinary least square regression. Results: Participants were on average 36.6 years old (SD=11.9), 77% women, 25% Black, 29% Latino, and 21% Asian. At 18 weeks, change from baseline in R dlPFC activity did not differ significantly by treatment arm. Compared with waitlist control, Lumen-coached PST resulted in significantly greater improvements in symptoms of psychological distress (between-group mean difference=-3.56, 95%CI [-5.69, -1.43]), depression (-1.15, 95%CI [-2.25, -0.04]), and anxiety (-2.43, 95%CI [-3.72, -1.14]). Similarly, Lumen-coached participants had significantly greater improvements in problem-solving abilities, worry, positive and negative affect, disability, and work productivity, but not in the secondary neural targets or dysfunctional attitudes, compared with waitlist control. Lumen- and human-coached PST did not differ significantly for any of the measures; additionally, improved problem-solving abilities correlated with improved symptoms for both modalities. One serious adverse event involving hospitalization, unrelated to the study, was detected. Conclusions: Although differences in neural target changes were null, a voice-based AI coach improved measures of symptoms, behavior, affect, and functioning. Although Lumen showed promise compared to human delivery, confirmatory noninferiority testing is warranted. Trial Registration: NCT05603923
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