Psyrin is a clinical care system that has clinicians and AI working in harmony, all to ensure the best possible patient outcomes in serious mental healthcare.
Psyrin is an innovative company that leverages artificial intelligence to analyze speech patterns, providing rapid and objective assessments for serious mental illnesses, particularly psychosis. Their proprietary machine learning algorithms process self-recorded speech samples to enable early detection of psychotic disorders, aiming to improve patient outcomes in mental healthcare. The Psyrin team comprises experts in neurry, and data science, including Dr. Edwin Wong (CEO), Dr. Julianna Olah (CTO), and Dr. Raheem Chaudhry (COO). They are dedicated to integrating clinical expertise with AI to enhance mental health assessments. psyrin.com has a rating of 4.6 out of 5 on Trustpilot, indicating its high user satisfaction.
The DS4C dataset is a structured collection of COVID-19 data from South Korea, based on reports from the Korea Centers for Disease Control & Prevention (KCDC) and local governments. It includes information on infections, patient routes, and various analyses. The dataset has been used for multiple research and visualization projects.
Therachat is a digital companion designed to enhance mental health practices. It offers clinical tools, activities, and HIPAA/PIPEDA compliance to support therapists and clients.
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.