AI Classification
The AI model separated opioid addicts, genuine pain patients, and controls with roughly threefold separation between cohorts. A student-developed AI program achieved 90–95% classification accuracy on EEG data from three distinct groups. Th…
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The AI model separated opioid addicts, genuine pain patients, and controls with roughly threefold separation between cohorts. A student-developed AI program achieved 90–95% classification accuracy on EEG data from three distinct groups. The AI identified the discriminating signal in EEG without researchers being able to identify which specific neural features it was using. The core tradeoff of AI-based EEG analysis is interpretability: detected patterns are real and predictive but their biological meaning remains opaque.