The Use of Artificial Intelligence in Pain Research
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 30 November 2025
Special Issue Editor
Interests: rehabilitation; image; neurological disorder; muculoskeletal disorder
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- pain
- research
- artificial intelligence
- deep learning
- machine learning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.