Magazine article

Psychologie Québec
Magazine article on the risks of AI in clinical practice and strategies for safer use.
Join a community exploring insights from technical, clinical, and guest perspectives
Join the TIL community for a free live discussion with TIL’s founders, where we’ll respond to the top questions clinicians are asking about AI, clinical practice, scribes and tools for therapists, large language models, and responsible use.
Together, we’ll look at AI from both clinical and technical perspectives, helping you better understand the technology and make more informed decisions for your practice.
Date & time: To be announced
Format: Clinician question session
Cost: Free
Audience: Psychologists, psychotherapists, allied mental health professionals
Language: This session is currently planned in English. Your language preference will help us plan future resources.
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FeaturedUpdated on Nov. 19, 2025 | 10 minute read


Hassan Rezaee, Ph.D., Katherine Gibb, M.Ed.
A practical guide to understanding general-purpose models versus models built for mental healthcare, with due diligence pointers to consider before adoption.
Briefs on the research TIL is reading, with editor notes on how it relates to practice.
Updated on Mar. 25, 2026
Despite strong performance on medical licensing exams, LLMs may still fall short in real-world settings, where accuracy depends on interaction quality, such as both user input and the model's ability to communicate effectively to the user.
Andrew M. Bean, Rebecca Elizabeth Payne, Guy Parsons, et al.
Nature Medicine
Magazine article

Magazine article on the risks of AI in clinical practice and strategies for safer use.
Invited panel
On students, conversational agents, and the implications for mental health practice.
2026 engagements
A data science and psychology collaboration to break down complex technical issues and their implications for practice
Editor & Contributor
Katherine Gibb is a Montreal-based psychologist in private practice who believes clinicians should play an active role in shaping technology innovation, and in exploring how technology can, in turn, support clinical work and strengthen care.
She co-founded OneClick Receipts, a platform designed for the needs of solo practitioners, after seeing the need for billing and scheduling tools better adapted to her own solo practice.

Editor & Contributor
Hassan Rezaee is a Montreal-based data scientist with experience in machine learning, applied AI, and product development.
At TIL, he focuses on bringing technical clarity to questions at the intersection of data science, clinical practice, and mental health.
He is also a co-founder of OneClick Receipts, an administrative platform for therapists that takes care of receipts and scheduling.


Clinical psychologist in private practice & Founder of TIL & OneClick Receipts

Data scientist
fieldlaw.com

Clinical psychologist & Assistant Professor, University of Cincinnati College of Medicine

Clinical psychologist in private practice
Call for contributors
Therapist in the Loop is developing a practical guide on safer use of AI in mental health and we're in the final stretch of building it with a small number of contributors and reviewers who have relevant professional expertise in law, mental health, or design.