About This Project

Note: SenSym, LLC is an early-stage exploration into AI applications for mental healthcare. This website represents research interests and potential directions rather than established products or services.

SenSym began as an exploration into how artificial intelligence might be thoughtfully integrated into mental healthcare. The goal is to understand whether AI can help make mental health support more accessible, personalized, and effective while maintaining the human connection that's so crucial to healing.

This is very much a learning journey. Mental healthcare is complex, and technology solutions require careful consideration of ethics, privacy, clinical efficacy, and the deeply personal nature of mental health challenges.

Currently, this involves researching existing work in the field, understanding the challenges faced by both patients and providers, and exploring where AI might genuinely add value without replacing the essential human elements of care.

Contact Us

Founder

Dr. Isac Artzi brings a uniquely interdisciplinary perspective to the intersection of AI and mental healthcare. With a PhD and extensive background spanning mathematics, computer science, artificial intelligence, and data science, he has spent his career bridging technical innovation with real-world applications. His industry experience includes roles at technology companies ranging from established corporations to dynamic Silicon Valley startups, including Gilat Satellite Communication, AppStream (acquired by Symantec), Boostworks, and ThumbMagic. This diverse startup and corporate experience has given him deep insights into both the challenges of bringing innovative technologies to market and the importance of solving genuine human problems. Academically, Dr. Artzi has contributed to research and education across multiple institutions, including Ben Gurion University, Michigan State University, University of Advancing Technology, Art Institute of Phoenix, and Grand Canyon University. This broad academic exposure has reinforced his belief in the power of cross-disciplinary collaboration. The convergence of his technical expertise and growing interest in mental healthcare led to the creation of SenSym - an exploration into how AI might thoughtfully enhance mental health support while preserving the essential human elements of care. His approach emphasizes responsible innovation, ethical considerations, and the importance of understanding both the technological possibilities and the deeply personal nature of mental health challenges.

Research Areas of Interest

These are areas I'm currently learning about and think could be promising directions:

AI-Assisted Screening and Assessment

Could AI help identify mental health concerns earlier or more accurately? What are the risks and benefits of automated screening tools?

Personalized Treatment Recommendations

How might machine learning help match patients with the most effective treatments based on their specific characteristics and circumstances?

Digital Therapy Companions

What role could conversational AI play in providing support between therapy sessions or in areas with limited access to mental health professionals?

Crisis Prediction and Prevention

Could AI help identify when someone is at increased risk of a mental health crisis, enabling earlier intervention?

Privacy-Preserving AI in Healthcare

How can we develop AI tools that are useful while protecting the sensitive nature of mental health data?

Selected Publications

Selected papers and articles authored or presented by Dr. Isac Artzi:

Integrating Artificial Intelligence in Mental Health: A Guide for Counselors in the Digital Age (in preparation).
Artzi, I
Taylor and Francis (2025 expected)
Intelligence Amplified: Uncovering AI’s Role in the Human Future of Academia
Artzi, I..
Leading Online Pedagogy & Engagement: A Virtual Conference on Higher Education, Phoenix, AZ, 2025
Predictive Analytics Techniques: Theory and Applications in Finance. In Financial Data Analytics - Theory and Applications (pp. 30–93).
Artzi, I.
Springer Nature, 2022
Artificial Intelligence Augmented Counseling - A Model
Artzi, I.
Acta Scientific Computer Sciences, 3(5), 8–12., 2021

Technology Exploration

Areas of technology we are experimenting with:

Natural Language Processing

Understanding how AI can process and understand human language in the context of mental health conversations and assessments.

Machine Learning for Healthcare

Studying how ML models can be trained responsibly on healthcare data while maintaining privacy and avoiding bias.

Digital Biomarkers

Exploring how smartphone and wearable data might provide insights into mental health status while respecting user privacy.

Conversational AI

Learning about chatbot and virtual assistant technologies that could provide supportive interactions.