{"title":"利用人工智能诊断、评估和管理慢性疼痛。","authors":"Habib Zakeri, Mohammad Radmehr, Farnaz Khademi, Pegah Pedramfard, Leala Montazeri, Mahshid Ghanaatpisheh, Behnam Rahnama, Parisa Mahdiyar, Saba Moalemi, Farnaz Hemati, Aliasghar Karimi","doi":"10.31661/jbpe.v0i0.2306-1629","DOIUrl":null,"url":null,"abstract":"<p><p>Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide. This condition involves persistent pain lasting more than three months, significantly impacting the quality of life and social interactions of patients. While the causes of chronic pain can often remain unknown, no definitive cure exists for the various known causes. Furthermore, the evaluation and prediction of pain can be challenging, particularly in unconscious patients receiving care in the intensive care unit. Subjective measures and traditional methods are typically employed for diagnosis, assessment, and treatment to identify the most effective approach. However, recent advancements in Artificial Intelligence (AI) and other computer science fields have revolutionized the medical domain, offering a novel and promising avenue for enhancing pain management. This review provides an overview of the potential benefits, limitations, and prospects associated with the role of AI in the diagnosis, assessment, and management of chronic pain.</p>","PeriodicalId":38035,"journal":{"name":"Journal of Biomedical Physics and Engineering","volume":"15 4","pages":"311-322"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12402416/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain.\",\"authors\":\"Habib Zakeri, Mohammad Radmehr, Farnaz Khademi, Pegah Pedramfard, Leala Montazeri, Mahshid Ghanaatpisheh, Behnam Rahnama, Parisa Mahdiyar, Saba Moalemi, Farnaz Hemati, Aliasghar Karimi\",\"doi\":\"10.31661/jbpe.v0i0.2306-1629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide. This condition involves persistent pain lasting more than three months, significantly impacting the quality of life and social interactions of patients. While the causes of chronic pain can often remain unknown, no definitive cure exists for the various known causes. Furthermore, the evaluation and prediction of pain can be challenging, particularly in unconscious patients receiving care in the intensive care unit. Subjective measures and traditional methods are typically employed for diagnosis, assessment, and treatment to identify the most effective approach. However, recent advancements in Artificial Intelligence (AI) and other computer science fields have revolutionized the medical domain, offering a novel and promising avenue for enhancing pain management. This review provides an overview of the potential benefits, limitations, and prospects associated with the role of AI in the diagnosis, assessment, and management of chronic pain.</p>\",\"PeriodicalId\":38035,\"journal\":{\"name\":\"Journal of Biomedical Physics and Engineering\",\"volume\":\"15 4\",\"pages\":\"311-322\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12402416/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biomedical Physics and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31661/jbpe.v0i0.2306-1629\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical Physics and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31661/jbpe.v0i0.2306-1629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain.
Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide. This condition involves persistent pain lasting more than three months, significantly impacting the quality of life and social interactions of patients. While the causes of chronic pain can often remain unknown, no definitive cure exists for the various known causes. Furthermore, the evaluation and prediction of pain can be challenging, particularly in unconscious patients receiving care in the intensive care unit. Subjective measures and traditional methods are typically employed for diagnosis, assessment, and treatment to identify the most effective approach. However, recent advancements in Artificial Intelligence (AI) and other computer science fields have revolutionized the medical domain, offering a novel and promising avenue for enhancing pain management. This review provides an overview of the potential benefits, limitations, and prospects associated with the role of AI in the diagnosis, assessment, and management of chronic pain.
期刊介绍:
The Journal of Biomedical Physics and Engineering (JBPE) is a bimonthly peer-reviewed English-language journal that publishes high-quality basic sciences and clinical research (experimental or theoretical) broadly concerned with the relationship of physics to medicine and engineering.