Differentiating between bipolar and borderline personality disorder using artificial intelligence: a scoping review

Borderline personality disorder (BPD) and bipolar disorder (BD) are debilitating psychiatric illnesses with significant rates of misdiagnosis. Emerging research highlights the potential of machine learning (ML) techniques in distinguishing between mental disorders, offering promise for improved diagnostic accuracy and treatment outcomes. This scoping review explores the potential of ML techniques in distinguishing individuals with BD from those with BPD and identifying the most relevant variables for differentiation.