Digital Mental Health Research Intelligence
PubMed corpus · 2024–2026 · Click any chart to browse papers
5,703 papers
100+ countries
299 companies
Updated Apr 2026
Total Papers
5,703
2024–2026
2024
1,838
papers published
2025
3,025
+65% vs 2024
2026 (YTD)
840
through Apr
Countries
100+
represented
Companies
299
industry involvement
Key finding: Publications grew 65% from 2024 to 2025 (1,838 → 3,025 papers). LLM/Generative AI research now covers 521 papers across the corpus. The USA, China, and UK remain the top publishing countries.
Publications Over Timeclick to filter
Publication Typesclick to filter
Top Journalsclick to filter
Top Keywordsclick to filter
Depression and anxiety dominate target conditions. LLM-based approaches are the fastest-growing AI method. Trust and therapeutic alliance are emerging as distinct outcome threads beyond efficacy. Click any bar to explore those papers.
Depression
2,440
most studied condition
Machine Learning
3,403
top AI method
LLM / GenAI
521
fastest growing
Youth-focused
1,697
youth_or_adolescent
Target Conditionsclick to filter
AI Methodsclick to filter
Intervention Typesclick to filter
Outcome Focusclick to filter
Populationclick to filter
Study Designclick to filter
Theme Growth 2024 → 2025 → 2026click to filter
Evidence maturity shows how much high-quality research (RCTs + systematic reviews) backs each theme. Depression and Anxiety have the deepest evidence bases. LLM/Generative AI is growing fast but remains mostly observational. Click any bar or cell to filter papers.
Themes Tracked
45
across 9 dimensions
Most RCTs
1,249
randomized_or_trial
Evidence-light
LLM/GenAI
growing fast, few RCTs
Highest Maturity
Efficacy
score 2,738
Theme Maturity — Evidence Breakdownclick to filter
Evidence Matrixclick a cell or theme name
Maturity Overview
| Tag | Dimension | Papers | RCTs | Reviews | Observational | Maturity | Label |
|---|
John Torous (Harvard/JMIR) leads with 38 papers. The US, UK, and China dominate by volume. Click any author or country bar to see their papers.
Top Authorsclick to filter
Papers by Countryclick to filter
Top Institutionsby paper count
Industry engagement: 299 companies involved. Fit Minded leads with 8 papers. Many have strong academic collaboration rates (>70% co-authored with academia). Click any company to see their papers.
Companies Detected
299
in corpus
Company-linked Papers
352
~6.2% of corpus
Top Company
Fit Minded
8 papers
Top Companies by Papersclick to filter
Academic Collaboration Rate
Company Details
| # | Company | Papers | Academic Collabs | Rate |
|---|
Intelligence Digest highlights the highest-impact papers, fastest-growing research themes, and most influential researchers — a quick briefing on where the field is heading.
Highest-Impact Papersranked by composite score (citations × theme breadth)
| Title | Journal | Year | Themes | Cited | Score |
|---|
Fastest-Growing Themes2024 → 2025 growth rate
Growth Tableclick a row to browse papers
| Theme | Dimension | 2024 | 2025 | Growth |
|---|
Researcher Spotlightsranked by composite influence score · click to see papers
| # | Researcher | Papers | Total Citations | Theme Breadth | Industry | Score |
|---|
Filter Papers
| Title | Journal | Authors | Year | Type | Tags | Cited |
|---|
About this Research Corpus
Search Scope
PubMed-indexed, peer-reviewed research published between January 2024 and March 2026, covering the intersection of digital technology and mental health.
Inclusion Criteria
Studies reporting on AI-powered interventions, conversational agents, mobile apps, and telepsychiatry tools — development, evaluation, or clinical application.
Tagging Approach
Each paper was classified across six dimensions: condition, AI method, intervention type, outcome focus, population, and study design — enabling multidimensional analysis.
Geographic & Industry Coverage
Author affiliations were mapped to identify contributing countries and institutions. Industry-linked papers were flagged by matching company names in author metadata.
Produced by
This dashboard was researched and produced by the Viaduco team. Viaduco is building a digital mental health app. © 2026 Viaduco. All rights reserved. Data sourced from PubMed. For research and informational purposes only.