Virtual Reality and Sex Therapy: Future Directions for Clinical Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rapidly growing new technologies are revolutionizing the field of mental health, in terms of both understanding and treating mental disorders. Among these, virtual reality (VR) is a powerful tool providing clients with new learning experiences benefiting their psychological well-being. This article offers an overview of the current literature on VR in psychotherapy, highlighting its relevance to sexual dysfunction (SD) treatment.A literature review of PubMed and Google Scholar databases was used to provide a description of the theoretical frameworks and clinical indications associated with VR use in psychotherapy and SD treatment. The effectiveness of VR exposure-based therapy has been empirically validated for several mental disorders, notably anxiety disorders. The emerging combined use of VR and mindfulness tends to focus on chronic pain treatment. Experimental research examining the use of immersive technologies in the treatment of SDs is lacking.Given the shortcomings of conventional SD treatments, exploring and developing specialized VR interventions may prove beneficial. VR offers promising avenues in sex therapy, particularly for the treatment of genital pain disorders or SDs in which anxiety plays a significant etiological role.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it