AI AND ALTERNATIVE SYMPTOMS IN THE DIAGNOSIS OF MDD: The role of forgiveness, hopelessness, mixity and diminished drive.

Abstract

The explosion of the use of artificial intelligence (AI) in medical practice has shaken the foundations of clinical assessment and management. In our study, we conducted structured interviews with 43 patients (23 female, 15 male) affected by MMD (DSM-5-TR criteria). We sent the recorded and transcribed semi-structured interviews to the analysis of appropriately trained AI programs. We evaluated the predictive weight of symptoms described by patients beyond those present among the DSM-5-TR diagnostic criteria. We also analyzed the relationship with forgiveness, hopelessness, and diminished drive. The results revealed a positive predictive factor in patients with higher levels of somatization and physical oppression, ambivalent and blocked anhedonia, distress and agitated restlessness, mixed states, and subthreshold symptomatic oscillations.