In this episode of Off Label, we unpack a paper by Dr. Steve Rondeau that tackles one of the biggest challenges in mental health care: diagnostic heterogeneity. When two patients present with the same symptoms but have entirely different underlying conditions, misdiagnosis becomes almost inevitable—and treatment suffers. The paper explains how overlapping symptoms, frequent comorbidities, and decades of generalized diagnostic frameworks contribute to high error rates and growing patient distr...
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In this episode of Off Label, we unpack a paper by Dr. Steve Rondeau that tackles one of the biggest challenges in mental health care: diagnostic heterogeneity. When two patients present with the same symptoms but have entirely different underlying conditions, misdiagnosis becomes almost inevitable—and treatment suffers. The paper explains how overlapping symptoms, frequent comorbidities, and decades of generalized diagnostic frameworks contribute to high error rates and growing patient distr...
Neuroscience or Noise? AI and the Validation of qEEG
Off-Label
58 minutes
4 months ago
Neuroscience or Noise? AI and the Validation of qEEG
Description: qEEG has been called revolutionary—and ridiculed as pseudoscience. So which is it? In this episode of Off Label: Data, Diagnostics, and the Future of Mental Health, Dr. Steve Rondeau dives into the high-stakes debate over quantitative EEG (qEEG), a brain-based diagnostic tool offering rich insights into neural function. But with so much controversy around its accuracy, interpretation, and clinical utility, the real question becomes: how do we know it’s real? Enter AI. We explore ...
Off-Label
In this episode of Off Label, we unpack a paper by Dr. Steve Rondeau that tackles one of the biggest challenges in mental health care: diagnostic heterogeneity. When two patients present with the same symptoms but have entirely different underlying conditions, misdiagnosis becomes almost inevitable—and treatment suffers. The paper explains how overlapping symptoms, frequent comorbidities, and decades of generalized diagnostic frameworks contribute to high error rates and growing patient distr...