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More than 60 scientific papers and counting.

The collective leadership behind Lyssn has been conducting research on the use of AI in the assessment of empathy and behavioral health care delivery since 2008 — resulting in more than 60 peer-reviewed published studies. Below are just a few selected papers that demonstrate our work.

Our AI platform’s strength in numbers.

Matches More Than
of Human Performance when Evaluating for Evidence-Based Practices in Motivational Interviewing
0 %
Matches
of Human Performance when Evaluating for Evidence-Based Practices in CBT Fundamentals
0 %
Matches More Than
of Human Performance when Evaluating for Evidence-Based Practices in Multicultural Orientation
0 %
Matches More Than
of Human Performance when Evaluating for Evidence-Based Practices in Safety Planning
0 %
Matches
of Human Performance when Evaluating for Evidence-Based Practices in Research
0 %

Title

Type of Study

Status

Collaborators

Outcomes in Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning
Archival Data Evaluation
Published
Talkspace; Beck Community Initiative, University of Pennsylvania Department of Psychiatry
Development and validation of a cognitive behavioral therapy for psychosis online training with automated feedback
Machine Learning Evaluation
Published
Dr. Sarah L. Kopelovich, PhD; University of Washington School of Medicine
Preliminary Investigation of an Artificial Intelligence-Based Cognitive Behavioral Therapy Training Tool
Pilot Trial
Published
University of Washington School of Medicine
Machine Learning-Based Evaluation of Suicide Risk Assessment in Crisis Counseling Calls
Machine Learning Evaluation
Published
Protocall Services, Inc.
Automating the assessment of multicultural orientation through machine learning and natural language processing
Machine Learning Evaluation
Published
University of Wisconsin-Madison; University of Denver
Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision
Qualitative Study/Randomized Clinical Trial
Published
Beck Community Initiative, University of Pennsylvania Department of Psychiatry; Talkspace
Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?
Qualitative Study/Randomized Clinical Trial
Published
Evergreen Treatment Services; Washington State University
Using Artificial Intelligence to Identify Effective Components of Computer-Assisted Cognitive Behavioural Therapy
Quantitative Study
Published
University of Utah
Automated quality assessment of cognitive behavioral therapy sessions through highly contextualized language representations
Machine Learning Evaluation
Published
University of Southern California
Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills
Randomized Clinical Trial
Published
University of Utah; University of Southern California
Harnessing Innovative Technologies to Train Nurses in Suicide Safety Planning With Hospitalized Patients: Protocol for Formative and Pilot Feasibility Research
Randomized Clinical Trial
Data Analysis
University of Washington
Lyssn’s research team provided a scoping review to describe the impact of augmented AI on mental healthcare and our recommendations for safe and equitable use of AI moving forward
Review
Submitted for Publication
University of Pennsylvania Department of Psychiatry; University of Utah School of Computing
We analyzed burnout data from our CBT for Psychosis clinical trail in collaboration with experts at the University of Denver and Oregon State University.
Quantitative Study
Submitted for Publication
Oregon State University; University of Washington School of Medicine; University of Denver
In collaboration with the University of Denver, Lyssn has analyzed data about clinician burnout
Quantitative Study
Submitted for Publication
University of Denver
In collaboration with researchers at Kaiser – Colorado, Lyssn’s AI was used to evaluate Motivational Interviewing skills among professional and peer counselors supporting pregnant women at risk for prenatal depression
Quantitative Study
Submitted for Publication
Kaiser Colorado
Lyssn was utilized to evaluate the Motivational Interviewing training program for nurses in providing patient centered care
Quantitative Study
Submitted for Publication
Motivational Interviewing Skills Lab; California State University System
Testing the incremental effectiveness of pay-for-performance to improve implementation of a motivational interviewing brief intervention for substance use disorders in HIV settings: Results of a parallel cluster-randomized type 3 hybrid trial
Randomized Clinical Trial
Pre-Print
The Ohio State University College of Medicine and Public Health
In collaboration with PRI’s research team, we evaluated Motivational Interviewing training with an AI-assisted chatbot
Randomized Clinical Trial
Data Analysis
Prevention Research Institute (PRI)
Lyssn’s team will use our AI to evaluate historical crisis calls from Protocall Services, Inc. for basic active listening skills, and risk and safety assessment
Archival Data Evaluation
Data Analysis
Protocall Services, Inc.
Deployment and evaluation of Lyssn’s Cognitive Behavioral Therapy fidelity feedback tool at community behavioral health centers in Philadelphia
Randomized Clinical Trial
Data Collection
Beck Community Initiative, University of Pennsylvania Department of Psychiatry
Deployment and evaluation of Lyssn’s risk and safety assessment tool at a national crisis and 988 call center
Randomized Clinical Trial
Data Collection
Protocall Services, Inc.

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