Debora Luciani
Biographic Data
| ID | 7931856 |
|---|---|
| NAME | Debora Luciani |
| GIVEN NAMES | Debora |
| FAMILY NAME | Luciani |
| SIGNATURE | LUCIANI D |
| AFFILIATIONS | University of Chieti-Pescara |
| ORCID | 0000-0003-4258-1918 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Diagnostic Accuracy of GPT‐Based Large Language Models Across Versions, Prompting Techniques, and Case Presentation Formats
Despite the centrality of the diagnostic assessment in psychiatry, the agreement among mental health practitioners often varies from poor to moderate. The potential of large language models (LLMs; such as gpt‐based models), among other approaches, has been studied to be used as standardized tools to support clinicians’ decision‐making. The current work investigates the diagnostic accuracy of gpt‐based LLMs (gpt‐3.5 and gpt‐5.1) across different c…
Eco-Anxiety and Mental Health
Eco-anxiety in Italy is linked to socio-demographic vulnerabilities, disaster exposure, and impaired mental health. These findings highlight eco-anxiety as a pressing public health concern and stress the need for prevention and interventions that promote adaptive coping and engagement with climate change
Profiling and assessing the risks of image- and performance-enhancing drugs use during the Covid-19 lockdown
Background: Image and Performance-Enhancing Drugs (IPEDs) can enhance mental and physical capabilities and impact one's overall health. Initially confined in sport environments, IPEDs use has become increasingly widespread in a high-performing society. The present study was aimed at profiling IPEDs use during the COVID-19 lockdown among an international sample of young adults. Methods: A cross-sectional observational study was carried out in eigh…
Duration of Untreated Disorder and Cannabis Use
According to our study, cannabis use can be a predictor of FEP and DUP, and of disease outcome. However, several factors might influence the relationship between cannabis use and DUP. Preventing cannabis use and early diagnosis of psychotic disorders might impact the disease by reducing the persistence of symptoms and limiting dissociative experiences
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Duration of Untreated Disorder and Cannabis Use
According to our study, cannabis use can be a predictor of FEP and DUP, and of disease outcome. However, several factors might influence the relationship between cannabis use and DUP. Preventing cannabis use and early diagnosis of psychotic disorders might impact the disease by reducing the persistence of symptoms and limiting dissociative experiences
Profiling and assessing the risks of image- and performance-enhancing drugs use during the Covid-19 lockdown
Background: Image and Performance-Enhancing Drugs (IPEDs) can enhance mental and physical capabilities and impact one's overall health. Initially confined in sport environments, IPEDs use has become increasingly widespread in a high-performing society. The present study was aimed at profiling IPEDs use during the COVID-19 lockdown among an international sample of young adults. Methods: A cross-sectional observational study was carried out in eigh…
Eco-Anxiety and Mental Health
Eco-anxiety in Italy is linked to socio-demographic vulnerabilities, disaster exposure, and impaired mental health. These findings highlight eco-anxiety as a pressing public health concern and stress the need for prevention and interventions that promote adaptive coping and engagement with climate change
Diagnostic Accuracy of GPT‐Based Large Language Models Across Versions, Prompting Techniques, and Case Presentation Formats
Despite the centrality of the diagnostic assessment in psychiatry, the agreement among mental health practitioners often varies from poor to moderate. The potential of large language models (LLMs; such as gpt‐based models), among other approaches, has been studied to be used as standardized tools to support clinicians’ decision‐making. The current work investigates the diagnostic accuracy of gpt‐based LLMs (gpt‐3.5 and gpt‐5.1) across different c…
Medicine (2 works) · Psychiatry (2 works) · Psychology (2 works) · Schizophrenia research and treatment (2 works) · Addiction (1 work) · Antipsychotic (1 work) · Anxiety (1 work) · Bipolar Disorder and Treatment (1 work) · Cannabis (1 work) · Climate change (1 work)