Analysis of Facial Expressions for Pain Recognition: Using Artificial Intelligence and Biomarkers as a Pain Diagnostic Tool in Fibromyalgia, a Pilot Study

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 65
Healthy Volunteers: t
View:

• The inclusion criteria are patients with no diagnosed cognitive deficit and who are willing to take part in the study.

Locations
Other Locations
Brazil
Outpatient Faculty Medical Sciences
RECRUITING
Belo Horizonte
Contact Information
Primary
Alessandra H De Souza, PhD
alessandra.souza@cienciasmedicasmg.edu.br
55-31984205240
Time Frame
Start Date: 2025-11-17
Estimated Completion Date: 2026-09-01
Participants
Target number of participants: 122
Treatments
Patients diagnosed with fibromyalgia
The aim is to follow fibromyalgia patients over a period of months to analyze pain intensity and identify molecular markers associated with the condition. The study encompasses facial analysis techniques and molecular markers, along with artificial intelligence tools, to quantify pain and understand the underlying mechanisms of fibromyalgia. The methodology is predominantly quantitative, focused on collecting and analyzing objective data on pain and associated markers.
Patients without a diagnosis of fibromyalgia
The aim is to follow patients with pain over a period of months to analyze the intensity and identify molecular markers associated with the condition. The study encompasses facial analysis techniques and molecular markers, along with artificial intelligence tools, to quantify pain and understand the underlying mechanisms of fibromyalgia. The methodology is predominantly quantitative, focused on collecting and analyzing objective data on pain and associated markers.
Related Therapeutic Areas
Sponsors
Leads: Faculdade de Ciências Médicas de Minas Gerais
Collaborators: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do estado de Minas Gerais

This content was sourced from clinicaltrials.gov

Similar Clinical Trials