Case Report
Intranasal esketamine combined with a form of generative artificial intelligence in the management of treatment-resistant depression
Bibliographic Data
| ID | 15516360 |
|---|---|
| Authors | Alexandre Fraichot (University Hospital of Geneva, corresponding author), Sophie Favre (0000-0001-9633-2760, University Hospital of Geneva), Hélène Richard-Lepouriel (0000-0002-0778-3728, University of Geneva) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1536232-1536232 |
| Publication date | 2025-08-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1536232 |
| PMID | 40896221 |
| OpenAlex | W4413969521 |
| Language | EN |
| References cited | 34 |
This case report highlights the potential effectiveness of combining intranasal Esketamine treatment with generative artificial intelligence images and interpretations as part of an integration process. It also emphasizes the importance of having a nurse present to support the process. Further research is needed to determine which patients may benefit most from this combined treatment approach
Cognition · Depression (economics · Intensive care medicine · Major depressive disorder · Nasal administration · Psychiatry · Psychotherapist · Treatment-resistant depression · Medicine · Psychology · Treatment of Major Depression · Pharmacology
| Citation velocity | historical |
|---|---|
| Highly cited | No |