AI和替代症状在MDD诊断中的作用：宽恕、绝望、混杂和动力减弱。

4区医学 Q2 Medicine

Psychiatria Danubina Pub Date : 2025-09-01

Francesco Franza, Andreana Franza, Luigi Calabrese, Antonio Nicola Iannaccone, Antonio Ricca, Barbara Solomita, Giuseppe Tavormina

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引用次数: 0

摘要

人工智能（AI）在医疗实践中的爆炸性应用动摇了临床评估和管理的基础。在我们的研究中，我们对43名患有烟雾病（DSM-5-TR标准）的患者（23名女性，15名男性）进行了结构化访谈。我们将录制和转录的半结构化访谈发送给经过适当训练的人工智能程序进行分析。我们评估了超出DSM-5-TR诊断标准的患者所描述的症状的预测权重。我们还分析了宽恕、绝望和动力减弱之间的关系。结果显示躯体化和身体压迫、矛盾和封锁性快感缺乏、痛苦和激动不安、混合状态和阈下症状振荡是阳性的预测因素。

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

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.

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来源期刊

Psychiatria Danubina 医学-精神病学

CiteScore

3.00

自引率

0.00%

发文量

288

审稿时长

4-8 weeks

期刊介绍： Psychiatria Danubina is a peer-reviewed open access journal of the Psychiatric Danubian Association, aimed to publish original scientific contributions in psychiatry, psychological medicine and related science (neurosciences, biological, psychological, and social sciences as well as philosophy of science and medical ethics, history, organization and economics of mental health services).