The role of virtual reality in managing inflammatory bowel disease: a novel approach to bridging mental and physical health
Bibliographic record
Abstract
Inflammatory bowel disease (IBD), encompassing Crohn's disease and ulcerative colitis, is characterized by symptoms such as fatigue, abdominal pain, and diarrhoea, which may persist even when inflammation is controlled. These symptoms are further exacerbated by psychological stress, which may complicate disease management that involves the gut-brain axis-a bidirectional communication pathway linking the gastrointestinal system and the central nervous system. While stress, anxiety, and depression are prevalent among patients with IBD, access to comprehensive mental health care is often limited, particularly in rural and underserved areas. Virtual reality (VR) has emerged as a promising tool in managing psychological comorbidities and enhancing the overall care of patients with IBD. The integration of VR in IBD care offers a novel, accessible approach to addressing both physical and mental health challenges, potentially improving the quality of life and clinical outcomes for IBD patients. Further research is warranted to evaluate the long-term benefits and broader applicability of VR-based interventions in diverse patient populations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".