Off-Label
Off Label is an AI-hosted podcast by Dr. Steve Rondeau’s digital twin. It explores the limits of DSM-based diagnosis and the promise of brain-informed psychiatry. From mislabeled symptoms to overlooked patterns, we examine how mental health can evolve beyond outdated frameworks toward something more precise, personal, and real.
Off-Label
Who Gets Diagnosed—and Why? Tech’s Role in Rethinking Psychiatr
Description:
What if your psychiatric diagnosis had less to do with how you answered questions—and more to do with how your brain actually functions?
In this episode of Off Label: Data, Diagnostics, and the Future of Mental Health, we examine how technology is reshaping psychiatry’s most foundational challenge: bias. From diagnostic inconsistency to cultural misinterpretation and provider subjectivity, mental health care has long struggled with fairness and accuracy. Dr. Steve Rondeau explores how emerging tools—like quantitative EEG (qEEG) and artificial intelligence—could shift the field from intuition to information.
You’ll hear how brain-based metrics and machine learning models offer the potential for more consistent, personalized diagnoses, better patient-provider matching, and treatment decisions based on actual data—not assumptions. We also dive into the ethical tensions: Who controls the data? How do we prevent new forms of bias? And what’s needed to ensure technology doesn’t just replicate inequity in a different form?
Whether you’re a clinician, technologist, or mental health advocate, this episode offers a bold but grounded look at how innovation could rewire psychiatric care for the better.