Background & Aims
Fibromyalgia (FM) syndrome is a chronic pain disorder with diverse complex manifestations. This poses as a great challenge in it’s diagnosis and management. FM is one of the most common causes of chronic widespread pain. FM has a significant impact on society both on an individual due to the poor quality of life and on a societal basis due to it’s direct and indirect economic burden.
Here in this study, the evolving role of Artificial Intelligence (AI) in transforming the way forward for better outcome is explored.
Analysis of clinical records and datasets comprising of imaging and patient-reported outcomes minimises the risk of misdiagnosis. The usage of AI algorithms, pattern recognition applications and enhanced machine learning shows remarkable progress in optimising patient care. This shall improve the accuracy of early diagnosis and help create personalised targeted treatment strategies. Such measures can improve the patient’s Quality of Life.
Methods
A detailed systematic review of literature and analysis of current web based data was done. The research articles selected were related to the advances in medical applications of Artificial Intelligence in Pain Medicine.
the search was done on PubMed, Google Scholar and ProQuest. The following search words were used : AI in Fibromyalgia, AI in chronic pain , Artificial Intelligence challenges , Fibromyalgia and Personalised Medical Apps.
The selected studies data was extracted to process data collection.
Results
Fibromyalgia is a chronic pain disorder associated with co-morbidities that may be categorised as somatic pain disorders, psychiatric conditions, sleep disorders, rheumatic diseases and other conditions. There is over-sensitisation and decreased conditioned pain modulation as a result of it’s complex pathogenetic basis. AI can be used in remote monitoring and as an assessment tool to constantly track symptoms in fibromyalgia patients. It thereby provides insight into the progression of the disease. Real time data collection through mobile apps and wearable devices helps in the analysis of symptom patterns. Explainable AI analysis has determined mental health factors to be more relevant than pain perceived factors for FM severity. AI facilitates identification of potential biomarkers associated with central pain conditions and fibromyalgia. AI in pain relief introduces novel social dynamics. It impacts societal perceptions and patient-doctor relationship beyond traditional healthcare.
Conclusions
Artificial Intelligence (AI) holds promising possibilities in the specialty of Pain Medicine. This helps the health professionals understand and manage various complex pain conditions for example like Fibromyalgia and Central Pain. For the interdisciplinary collaboration on establishing standards on AI usage in Chronic Pain, there is a need for an ongoing research. It is crucial to consider ethical concerns that challenges the synergy between technology and medicine. Data privacy, biases and transparency in AI algorithm requires the need for responsible implementation for practical reasons .
This new horizon can transform healthcare tremendously . The provision for accurate diagnostics, personalised treatments and early interventions will further develop unprecedented growth in patient care in Fibromyalgia. Concerns over socioeconomic disparities, technological training and access to healthcare AI are issues to be addressed alongside Cultural and Ethical Sensitivities.
References
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Presenting Author
Sweety Purushotham
Poster Authors
Sweety Purushotham
MD
DYP School of Medicine, Mumbai
Lead Author
Topics
- Patient Engagement and Co-Creation in Research and Education