Trial reportNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2020
Emerging Clinical Technology: Application of Machine Learning to Chronic Pain Assessments Based on Emotional Body Maps.
Trial report in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07081737 (The Future of Pain Management), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Future of Pain Management: Can Person-centred and Precision AI-Based Decision Support Enhance Interdisciplinary Rehabilitation for Chronic Pain?
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- The Use of Sensors to Prevent, Predict Transition to Chronic and Personalize Treatment of Low Back Pain: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Sex Representation and User Preferences in Pain Drawing Body Charts in Back Pain Research: Multimethod Study.JMIR human factors · 2026Article
- Study on multi-modal feature fusion machine learning classification model of Chinese and Western medicine for depressive symptoms in middle-aged and older patients with chronic low back pain.Frontiers in psychiatry · 2026Article
- Defining and validating a multidimensional digital metric of health states in chronic back and leg pain.NPJ digital medicine · 2025Article
- Summary and Analysis of Digital Pain Manikin Data in Adults With Pain Experience: Scoping Review.Journal of medical Internet research · 2025Article
- The current state of digital manikins to support pain self-reporting: a systematic literature review.Pain reports · 2025Review
- Emotional recognition technologies applied to health: review and challenges.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Review
- Types, method, and mode of implementation of pain/symptom maps in musculoskeletal pain rehabilitation: A scoping review protocol.PloS one · 2025Article
- The Ethical Stewardship of Artificial Intelligence in Chronic Pain and Headache: A Narrative Review.Current pain and headache reports · 2024Review
- Mapping the emotional homunculus with fMRI.iScience · 2024Article
- Applications of Artificial Intelligence in Pain Medicine.Current pain and headache reports · 2024Review
- The use of Arts-Based Research in Chronic Pain: A Scoping Review.Canadian journal of pain = Revue canadienne de la douleur · 2024Article
- Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain.Scientific reports · 2023Article
- Using artificial intelligence to improve pain assessment and pain management: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Pediatric Functional Neurological Symptoms Disorder: Walking Ability and Perceived Exertion Post-Pediatric Rehabilitation.International journal of environmental research and public health · 2023Article
- Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine.La Medicina del lavoro · 2022Review
- The two-stage therapeutic effect of posture biofeedback training on back pain and the associated mechanism: A retrospective cohort study.Frontiers in physiology · 2022Article
- Aligning New Approaches to Accelerate the Development of Non-opioid Analgesic Therapies.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Depression and anxiety co-occur with chronic pain, and all three are thought to be caused by dysregulation of shared brain systems related to emotional processing associated with body sensations. Understanding the connection between emotional states, pain, and bodily sensations may help understand chronic pain conditions. We developed a mobile platform for measuring pain, emotions, and associated bodily feelings in chronic pain patients in their daily life conditions. Sixty-five chronic back pain patients reported the intensity of their pain, 11 emotional states, and the corresponding body locations. These variables were used to predict pain 2 weeks later. Applying machine learning, we developed two predictive models of future pain, emphasizing interpretability. One model excluded pain-related features as predictors of future pain, and the other included pain-related predictors. The best predictors of future pain were interactive effects of (a) body maps of fatigue with negative affect and (b) positive affect with past pain. Our findings emphasize the contribution of emotions, especially emotional experience felt in the body, to understanding chronic pain above and beyond the mere tracking of pain levels. The results may contribute to the generation of a novel artificial intelligence framework to help in the development of better diagnostic and therapeutic approaches to chronic pain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.