Immersive Virtual Reality as a Non-Pharmacological Analgesic for Pain Management
Bibliographic record
Abstract
In the 1990s, when immersive Virtual Reality (VR) was first popular, researchers found it to be an effective intervention in reducing acute pain. Since that time, VR technologies have been used for treating acute pain. Although the exact mechanism is unclear, VR is thought to be an especially effective form of pain distraction. While pain-related virtual environments have built upon pain distraction, a handful of researchers have focused on a more difficult challenge: VR for long-term chronic pain. Because the nature of chronic pain is complex, pharmacological analgesics are often insufficient or unsustainable as an ideal long-term treatment. In this chapter, the authors explore how VR can be used as a non-pharmacological adjuvant for chronic pain. Two paradigms for virtual environments built for addressing chronic pain have emerged – Pain Distraction and what we term Pain Self-modulation. We discuss VR's validation for mitigating pain in patients who have acute pain, for those with chronic pain, and for addressing “breakthrough” periods of higher pain in patients with chronic pain.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".