Latest suicide pub (w/ @drkatebentley@TaylorABurkePhD@jorsmo@DrJBStephens) provides strong evidence to 1) counter the common claim that clinicians can't predict suicide risk, demonstrating the value of clinical judgment, yet also 2) massive improvement through ML on SRA items
While clinicians can stratify suicide risk above chance levels, predictive accuracy for future suicide attempts significantly improves when using machine learning to incorporate comprehensive clinical assessment data.
https://t.co/QvbBKljIa8 @drkatebentley
Maybe knowledge was never what teaching was about. Maybe it was about inspiring, asking questions, sharing enthusiasm, mentoring, and coordinating group work. AI aside, the flipped classroom educational approach already demonstrated that straight lecturing is not a great strategy
โAI is demoralizing.โ
A Princeton Professor says he kept wondering this semester (while lecturing) if his students would be better off learning from Claude:
@DrSeanMitchell Awesome, maybe we can collaborate on something one of these years. So for suicide risk psychometrics, is that like Obegi 2025 suicidality severity, or more like suicidal ideation assessments? Any Rasch, or no?