Human Connection. AI Insights.
Evidence-Based Research.
At ReachLink, we're redefining mental health care by combining human expertise with AI intelligence. Our research, built on 750,000+ therapy sessions, proves technology amplifies, not replaces, human connection. We're committed to open science and welcome partnerships with research institutions.
Some key areas driving our mental health research:
AI & Mental Health
Does AI Help or Hurt Mental Health?
Examining how AI impacts mental health care, from enhanced support to potential risks.
Clinical Outcomes
What Improves Mental Health Outcomes?
Investigating evidence-based treatments for anxiety, depression, and stress that drive lasting recovery.
Lifestyle Research
How Does Environment Affect Mental Health?
Studying how lifestyle factors like sleep, nutrition, exercise, and medication influence mental health outcomes.
Trauma Research
How Does 
Trauma Impact Treatment?
Examining how trauma shapes mental health conditions and therapeutic approaches in trauma-informed care.
Built for Every Referral Type
DATA
PRIVACY
All research uses anonymized, aggregated data to protect participant privacy while advancing mental health science.
HIPAA
COMPLIANT
Full compliance with healthcare privacy regulations ensures your information remains secure and confidential at every stage.
NEVER
SOLD
Never sold to third parties. Research partnerships use only anonymized, aggregated data to advance mental health care.
IRB

APPROVED
All research uses anonymized, aggregated data to protect participant privacy while advancing mental health science.
Research 
Partnerships
We're building partnerships with universities and research institutions to advance evidence-based mental health care. Interested in collaborating?
ReachLink Research
Our active research initiatives exploring human-centered digital mental health care.
Data Collection in Progress
Therapist Matching Outcomes
Investigating the effectiveness of human-coordinated therapist matching compared to algorithmic assignment on treatment adherence and therapeutic alliance.
Analysis Phase
AI-Enhanced Care Coordination
Studying how AI tools support care coordinators in clinical decision-making while maintaining human oversight and therapeutic judgment.
Active Research
Treatment Adherence and Engagement
Analyzing factors that predict sustained engagement and treatment completion in digital therapeutic relationships.
Study Design Phase
AI in Clinical Assessment and Diagnosis
Validating assessment tools and outcome measures specific to video-based therapeutic modalities.
External Research
The latest research from leading institutions shaping the future of mental health care.
Harvard Business School
AI for Proactive Mental Health: A Randomized Controlled Trial
Harvard Business School explores AI's role in proactive mental health care. This study examines how AI tools can predict and prevent mental health crises effectively.
This NIH article evaluates Large Language Models' ability to identify human facial emotions. The study benchmarks AI performance against human accuracy in emotion recognition.
IESO Digital Health
AI-Driven Therapy Program Effectiveness vs. Human-Delivered Care
IESO presents a ground-breaking study proving AI-driven therapy programs have comparable effectiveness to human-delivered care while using significantly fewer therapist hours.
This NIH study explores using Large Language Models to interpret psychiatric digital phenotyping data, assessing their potential to enhance clinical decision support systems.
This preprint introduces TRUSTING, a study on speech-based relapse prediction in psychosis using explainable AI, aiming to improve early intervention strategies in psychiatry.
JMIR Publications
Generative AI–Powered Mental Wellness Chatbot for College Students
This JMIR study evaluates a generative AI-powered mental wellness chatbot for college students, assessing its effectiveness in providing accessible support and reducing stress.
Tom Insel discusses the intersection of Generative AI and mental health in this Microsoft feature, exploring how technology can transform care delivery and patient outcomes.
OpenAI and Penda Health present a study on an AI clinical decision support tool used in Kenya, showing significant reductions in medical errors and improved patient safety.
Cornell University (arXiv)
Transformer-Based Decomposition of Electrodermal Activity for Mental Health
This arXiv paper proposes a Transformer-based method for decomposing electrodermal activity, aiming to improve the accuracy of stress and mental health monitoring using wearables.
Google Health unveils new AI tools and research initiatives focused on mental health, aiming to improve early detection, treatment accessibility, and global health equity.
Nature publishes a study on the empirical structure of psychopathology in Large Language Models, exploring how AI systems encode and reproduce patterns of mental illness.
Cornell University (arXiv)
The Psychogenic Machine: Simulating AI Psychosis and Delusion Reinforcement
This arXiv paper investigates 'AI Psychosis', simulating how Large Language Models can reinforce delusions and enable harm, highlighting critical safety risks in AI interaction.
A crowdsourced megastudy evaluates twelve digital single-session interventions for depression, offering insights into scalable and accessible mental health treatment options.
American Psychiatric Association
Mental Health Apps and Crisis Support: Impact of 988
Psychiatric Services explores the impact of the 988 suicide crisis line on mental health apps and support systems, discussing policy recommendations and service integration.
JMIR Publications
Evaluating the Effectiveness of the InsightApp: A Longitudinal RCT
A randomized controlled trial evaluates the InsightApp, a gamified intervention designed to improve metacognitive skills for coping with stress, anxiety, and daily challenges.
Nature Digital Medicine explores whether a mobile app can work like an antibody, presenting a digital intervention study that targets specific psychological mechanisms.
JMIR Publications
Citation Fabrication in Mental Health Research Using LLMs
A JMIR study investigates citation fabrication in mental health research using Large Language Models, warning of the risks of AI-generated misinformation in scientific writing.
This Scilit entry indexes a recent mental health research publication, contributing to the global database of scientific literature and facilitating access to new findings.
A cross-sectional survey in Lithuania analyzes risk factors for depression and anxiety in primary care, revealing significant gaps in diagnosis and treatment rates.
This study finds a whole-food ketogenic diet may be an effective adjunctive therapy for college students with depression, showing rapid improvements in mood and cognition.
This NIH article discusses Measurement-Based Care to enhance antidepressant treatment outcomes, emphasizing the importance of tracking patient progress with standardized metrics.
Johns Hopkins University
Five-Year Outcomes of Psilocybin-Assisted Therapy for Major Depression
Johns Hopkins research shows that psilocybin-assisted therapy for major depression can lead to lasting remission and improved well-being up to five years after treatment.
The Lancet Psychiatry discusses implementing lifestyle interventions in mental health care, reviewing evidence for diet, exercise, and sleep in treating psychiatric disorders.
Frontiers in Nutrition examines the effects of an Asian-adapted Mediterranean diet on depression and anxiety, highlighting the role of culturally tailored nutritional therapy.
Patient Care Online
Phase 2b Study of Psychedelic BPL-003 for Treatment-Resistant Depression
A Phase 2b study shows that the psychedelic compound BPL-003 produces rapid and persistent improvements in treatment-resistant depression, offering a promising new therapy.
JAMA Network
Systematic Review of State AI Legislation
A systematic review in JAMA Health Forum analyzes current state-level AI legislation, providing a comprehensive overview of the regulatory landscape for healthcare AI tools.
World Health Organization
World Mental Health Today: Latest Data (2025)
The World Health Organization presents the latest data on global mental health, highlighting the impact of crises and the urgent need for accessible mental health support.
World Health Organization
Mental Health Atlas 2024
The WHO Mental Health Atlas 2024 provides a comprehensive overview of mental health policies, services, and resources worldwide, tracking progress towards global targets.
Nature Portfolio
Resilience and Brain Health in Global Populations
Nature Medicine publishes a study on resilience and brain health in global populations, investigating biological and environmental factors that contribute to mental well-being.
NHS Digital releases the Adult Psychiatric Morbidity Survey 2023/24, providing critical statistics on the prevalence of mental health conditions and well-being in England.
Behavioral Health Tech
Proving Value in Motion: Rethinking Evidence in Digital Mental Health
Behavioral Health Tech publishes 'Proving Value in Motion', a report on rethinking evidence standards in digital mental health to better align with rapid technological innovation.
Pew Research Center
Pew Research: How Americans View AI and Its Impact on Society
Pew Research Center reports on how Americans view Artificial Intelligence, detailing public opinion on its impact on society, privacy, and the future of human-AI interaction.
American Institute for Boys and Men
Male Loneliness and Isolation: What the Data Shows
The American Institute for Boys and Men analyzes data on male loneliness and isolation, revealing gender-specific trends and the impact of education on social connection.
A JAMA study links high addictive screen use trajectories in adolescents to increased risks of suicidal behaviors, highlighting the need for targeted digital interventions.
K-12 Dive
HHS Survey: Teen Suicidal Thoughts
Depression and Substance Use: An HHS survey reported by K-12 Dive reveals alarming trends in teen suicidal thoughts, depression, and substance use, underscoring the need for school-based interventions.
Internet Matters
Myself & AI: Safeguarding Children's Use of AI Chatbots.
Internet Matters releases the 'Me, Myself & AI' report, providing guidance on safeguarding children's use of AI chatbots and addressing potential risks to youth mental health.
Let's Advance Mental Health Research Together
Building the future of mental health care together. Whether you're exploring research partnerships or want to understand our approach, we'd love to connect.
Let’s Talk
All ReachLink research is conducted in accordance with HIPAA compliance, IRB approvals where applicable, and ethical data privacy standards. We are committed to advancing mental health care through responsible, transparent research practices.