Analysis of Facial Expressions for Pain Recognition: Using Artificial Intelligence and Biomarkers as a Pain Diagnostic Tool in Fibromyalgia, a Pilot Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 122
- 试验地点
- 1
- 主要终点
- Use the artificial intelligence tool to analyze the facial expression of patients with fibromyalgia in order to recognize pain.
研究概览
简要总结
Fibromyalgia (FM) is a chronic musculoskeletal pain syndrome with characteristics of generalized body pain, low pain threshold, tenderness and stiffness in muscles, tendons and joints. The assessment of pain in this condition is a challenge due to its subjective nature. A promising approach to assessing pain intensity is facial expression analysis, which can serve as an objective indicator. In addition, research seeks to identify molecular molecular markers to quantify pain. However, the lack of a standardized system has made it difficult to identify reliable markers. In summary, the search for objective methods of assessing pain in fibromyalgia is essential in order to develop more effective more effective treatments. Facial expression analysis and the investigation of molecular markers are promising ways of quantifying pain intensity more accurately and intensity of pain more accurately and reliably in fibromyalgia.
详细描述
Introduction:
Fibromyalgia (FM) is a chronic syndrome characterized by diffuse musculoskeletal pain, fatigue and sleep disturbances, with a major impact on quality of life. Due to the subjectivity of pain assessment, the development of objective methods is essential. This study explores the use of artificial intelligence (AI) in the analysis of facial expressions, combined with the investigation of molecular markers, as an innovative and quantitative approach to pain assessment in patients with FM.
Objective:
To validate the application of an AI tool combined with facial expression analysis and molecular biomarker research to measure pain intensity in FM patients.
Methodology:
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •The inclusion criteria are patients with no diagnosed cognitive deficit and who are willing to take part in the study.
排除标准
- •Exclusion criteria are patients who use medication that can affect anxiety or depression or inability to understand the instructions.
结局指标
主要结局
Use the artificial intelligence tool to analyze the facial expression of patients with fibromyalgia in order to recognize pain.
时间窗: The estimated time for the anamnesis is one hour, during which time biological samples will be taken and each patient's facial expressions will be recorded on camera.
Use the artificial intelligence tool to analyze the facial expression of patients with fibromyalgia in order to recognize pain. 61 patients with fibromyalgia will be compared with 61 patients without fibromyalgia.
次要结局
- Biochemical analysis of biomarkers in the detection of pain in fibromyalgia.(Estimated collection and analysis time: 5 hours of durability)
研究者
Alessandra Hubner de Souza
Main supervisor of the study, statistical analyst and specialist in pain studies; pHd IN Pharmacological Sciences
Faculdade de Ciências Médicas de Minas Gerais