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

Francesco Franza ; Neuroscientific Association "Neamente", Avellino-Naples, Italy
Andreana Franza ; Neuroscientific Association "Neamente", Avellino-Naples, Italy
Luigi Calabrese ; Psychiatric Studies Centre "CenStu.Psi", Provaglio d'Iseo (BS), Italy
Antonio Nicola Iannaccone ; SoftwareEngine, Health IT & AI Research Division, Aiello del Sabato, Italy
Antonio Ricca ; Neuroscientific Association "Neamente", Avellino-Naples, Italy
Barbara Solomita ; Neuroscientific Association "Neamente", Avellino-Naples, Italy
Giuseppe Tavormina ; Psychiatric Studies Centre "CenStu.Psi", Provaglio d'Iseo (BS), Italy


Puni tekst: engleski pdf 204 Kb

str. 207-212

preuzimanja: 81

citiraj


Sažetak

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.

Ključne riječi

MDD; AI; depressive symptoms; DSM-5-TR; forgiveness; mixity

Hrčak ID:

344097

URI

https://hrcak.srce.hr/344097

Datum izdavanja:

20.9.2025.

Posjeta: 237 *