LinkedIn

 آمار

تعداد نشریات20
تعداد شماره‌ها1,149
تعداد مقالات10,518
تعداد مشاهده مقاله45,416,091
تعداد دریافت فایل اصل مقاله11,291,770
Zakeri, Habib, Radmehr, Mohammad, Khademi, Farnaz, Pedramfard, Pegah, Montazeri, Leala, Ghanaatpisheh, Mahshid, Rahnama, Behnam, Mahdiyar, Parisa, Moalemi, Saba, Hemati, Farnaz, Karimi, Aliasghar. (1402). Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain. سامانه مدیریت نشریات علمی, (), -. doi: 10.31661/jbpe.v0i0.2306-1629
Habib Zakeri; Mohammad Radmehr; Farnaz Khademi; Pegah Pedramfard; Leala Montazeri; Mahshid Ghanaatpisheh; Behnam Rahnama; Parisa Mahdiyar; Saba Moalemi; Farnaz Hemati; Aliasghar Karimi. "Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain". سامانه مدیریت نشریات علمی, , , 1402, -. doi: 10.31661/jbpe.v0i0.2306-1629
Zakeri, Habib, Radmehr, Mohammad, Khademi, Farnaz, Pedramfard, Pegah, Montazeri, Leala, Ghanaatpisheh, Mahshid, Rahnama, Behnam, Mahdiyar, Parisa, Moalemi, Saba, Hemati, Farnaz, Karimi, Aliasghar. (1402). 'Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.31661/jbpe.v0i0.2306-1629
Zakeri, Habib, Radmehr, Mohammad, Khademi, Farnaz, Pedramfard, Pegah, Montazeri, Leala, Ghanaatpisheh, Mahshid, Rahnama, Behnam, Mahdiyar, Parisa, Moalemi, Saba, Hemati, Farnaz, Karimi, Aliasghar. Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain. سامانه مدیریت نشریات علمی, 1402; (): -. doi: 10.31661/jbpe.v0i0.2306-1629

Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain

Journal of Biomedical Physics and Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 21 آذر 1402    اصل مقاله (547.34 K)
نوع مقاله: Review Article
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2306-1629
نویسندگان
Habib Zakeri1؛ Mohammad Radmehr1؛ Farnaz Khademi1؛ Pegah Pedramfard1؛ Leala Montazeri1؛ Mahshid Ghanaatpisheh2؛ Behnam Rahnama1؛ Parisa Mahdiyar1؛ Saba Moalemi1؛ Farnaz Hemati1؛ Aliasghar Karimi* 1
1Research Center for Neuromodulation and Pain, NAB Pain Clinic, Shiraz University of Medical Sciences, Shiraz, Iran
2Medis Holding, Shiraz, Iran
چکیده
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.
کلیدواژه‌ها
Artificial Intelligence؛ Machine Learning؛ Artificial Neural Networks؛ Deep Learning؛ Pain Management؛ Pain Assessment
آمار
تعداد مشاهده مقاله: 162,551
تعداد دریافت فایل اصل مقاله: 312


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب