AIMC Topic: Pain
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Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain.
Scientific reports
May 16, 2025
Pain is common in middle-aged and older adults, has also been identified as a fall risk factor, whereas the mechanism of falls in pain is unclear. This study included 13,074 middle-aged and older adults from the China health and retirement longitudin...
Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.
Journal of medical Internet research
May 13, 2025
BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opioid-related deaths increasing more than 8-fold since 1999. Chronic pain, affecting 1 in 5 US adults, is a key contributor to opioid use and misuse. Wh...
Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.
Medicine
Mar 14, 2025
It is clear that artificial intelligence-based chatbots will be popular applications in the field of healthcare in the near future. It is known that more than 30% of the world's population suffers from chronic pain and individuals try to access the h...
Towards artificial intelligence application in pain medicine.
Recenti progressi in medicina
Mar 1, 2025
Pain is a complex, multidimensional experience involving significant challenges in both diagnosis and management. While acute pain serves as a critical warning mechanism, chronic pain encompasses intricate biological, psychological, and social compon...
Do we empathize humanoid robots and humans in the same way? Behavioral and multimodal brain imaging investigations.
Cerebral cortex (New York, N.Y. : 1991)
Jun 4, 2024
Humanoid robots have been designed to look more and more like humans to meet social demands. How do people empathize humanoid robots who look the same as but are essentially different from humans? We addressed this issue by examining subjective feeli...
Developing Robust Clinical Text Deep Learning Models - A "Painless" Approach.
Studies in health technology and informatics
Jan 25, 2024
The success of deep learning in natural language processing relies on ample labelled training data. However, models in the health domain often face data inadequacy due to the high cost and difficulty of acquiring training data. Developing such models...
Identifying Mentions of Pain in Mental Health Records Text: A Natural Language Processing Approach.
Studies in health technology and informatics
Jan 25, 2024
Pain is a common reason for accessing healthcare resources and is a growing area of research, especially in its overlap with mental health. Mental health electronic health records are a good data source to study this overlap. However, much informatio...
Erector Spinae Plane Block versus Transversus Abdominis Plane Block for Robotic Inguinal Hernia Repair: A Blinded, Active-Controlled, Randomized Trial.
Pain physician
Jan 1, 2024
BACKGROUND: Regional anesthetic nerve blocks are widely used in the treatment of pain after outpatient surgery to reduce opioid consumption. Erector spinae plane (ESP) block is a recently described technique with promising results in different scenar...
[Application of the concept of accelerated rehabilitation surgery in the perioperative period of robot-assisted laparoscopic radical prostatectomy].
Zhonghua nan ke xue = National journal of andrology
Aug 1, 2023
OBJECTIVE: To explore the effect of the concept of accelerated rehabilitation surgery in the perioperative period of robot-assisted laparoscopic radical resection of prostate cancer.
Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes.
Rheumatology (Oxford, England)
Aug 1, 2023
OBJECTIVES: Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measurem...
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