Conversational AI in Mental Health: RCT Data Raises the Bar
A randomized controlled trial of 995 university students found that a conversational AI intervention (Kai.ai) reduced anxiety more than group therapy and a waiting list control at 12 weeks, with 57.9% of participants with clinical anxiety at baseline remitting to nonclinical levels versus 14.4% with group therapy. Depression outcomes were comparable between AI and group therapy; PTSD symptoms did not improve, highlighting limits of AI-based care for trauma.
Investigator Anat Shoshani, PhD, of Reichman University, emphasized that digital therapeutic alliance drove engagement and outcomes, framing conversational AI not as a therapy replacement but as a tool for continuous mental health support between and beyond formal clinical care.
Related: Your Patient's New Therapist Is an AI. Now What?
Adjunctive MDD Therapies and Precision Psychiatry: What Caught Our Attention in May
A network meta-analysis presented at the 2026 NEI Spring Congress found lumateperone (CAPLYTA) demonstrated the largest effect size across 4 key efficacy outcomes—MADRS change from baseline, response, remission, and CGI-S change—when indirectly compared with aripiprazole, brexpiprazole, cariprazine, and quetiapine XR as adjunctive therapies for major depressive disorder (MDD). Lumateperone also showed no clinically significant weight gain versus placebo and was the only agent comparable to placebo for akathisia risk.
Leslie Citrome, MD, of New York Medical College emphasized that in the absence of head-to-head trials, network meta-analyses provide clinicians the best available comparative context for adjunctive atypical antipsychotic selection in MDD.
Related: Need for Head-to-Head Adjunctive MDD Data, With Leslie Citrome, MD
Data from the Women's Interagency HIV Study (WIHS) suggest monocyte-specific epigenetic age acceleration (EAA) may help distinguish biologically distinct depression subtypes, particularly those characterized by non-somatic symptoms. Among 440 participants, monocyte EAA was significantly associated with non-somatic depressive symptoms (P =.018), with the strongest signals for anhedonia (P = .007) and hopelessness (P =.007). No associations were found for somatic symptoms, and a multi-tissue Horvath clock showed no significant associations.
Nicole Beaulieu Perez, PhD, of NYU Rory Meyers College of Nursing, emphasized the findings are not yet clinically actionable, noting replication studies and greater understanding of epigenetic mark malleability are needed before monocyte EAA could inform precision psychiatry practice.
Related:
Monocyte Aging Links to Non-Somatic Depression Symptoms, With Nicole Perez, PhD
Monocyte Clock Detects Depression Signals, With Nicole Perez, PhD