Artificial Intelligence and Machine Learning in Spine Research, 2nd Edition
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 882
Special Issue Editor
Interests: rehabilitation; imaging; neurological disorders; musculoskeletal disorders
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pain affects many people, leading to significant suffering, reduced physical function, and a diminished quality of life. Many individuals with chronic pain also experience psychological problems such as depression, anxiety, and sleep disturbances. As a result, pain management has become one of the major fields in modern medicine. Active research is being conducted to more accurately identify the causes of pain and improve diagnostic efficiency. These efforts are leading to significant advancements in alleviating pain, thereby enhancing patients’ functional abilities and overall quality of life.
Research aimed at achieving more effective pain management continues to progress rapidly. Recently, the development of artificial intelligence (AI) has opened up new possibilities in the diagnosis and treatment of pain. Large volumes of medical data are being analyzed by AI technologies to identify patterns of pain and suggest personalized treatment strategies. For instance, machine learning algorithms can integrate and analyze data from imaging studies, physiological signal measurements, and questionnaires to better pinpoint the underlying causes of pain and predict clinical outcomes. Additionally, natural language processing is being explored as a means to convert subjective pain reports into objective data. These technological advancements are promoting innovation in various aspects of pain medicine, helping to provide personalized treatment, improved predictive accuracy, and clinical decision support.
It is anticipated that the role of AI in the field of pain medicine will continue to expand in the coming years. This Special Issue aims to highlight recent research on the application of artificial intelligence in the diagnosis, treatment, and prognosis of pain. We invite contributions that explore the integration of clinical data, the development of predictive models, personalized therapeutic approaches, and the convergence of AI with digital healthcare. Through this Special Issue, we hope to provide insight into how the fusion of pain medicine and AI can lead to more patient-centered care and suggest future directions for research in this evolving field.
Dr. Min Cheol Chang
Guest Editor
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Keywords
- pain
- research
- artificial intelligence
- deep learning
- machine learning
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