Latest AI and machine learning research in pain management for healthcare professionals.
As network environments become increasingly complex and new attack methods emerge more frequently, the diversity of network attacks continues to grow. Particularly with new or rare attacks, gathering a large number of labeled samples is extremely difficult, resulting in limited training data. Existing few-shot learning methods, while reducing reliance on large datasets, mostly handle single-modali...
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatment strategies, and policy-making in healthcare. However, its inclusion in electronic health records (EHR) is often relegated to unstructured fields. This study aims to assess the collection and use of occupation-related data in rheumatology clinical narratives, describe factors influencing its coll...
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conv...
Chronic wounds have emerged as a significant medical challenge due to their adverse effects, including infections leading to amputations. Over the pas...
OBJECTIVE: To evaluate the use of ChatGPT and DeepSeek in clinical practice to provide healthcare professionals with accurate information on the preve...
BACKGROUND AND OBJECTIVES: Differentiation between temporomandibular disorders (TMDs) and trigeminal neuralgia (TN) as causes of orofacial pain is ver...
With the rapid advancement of artificial intelligence technology, efficiently extracting and analyzing music performance style features has become an ...
OBJECTIVES: This paper describes how artificial intelligence (AI) was used to analyze meeting minutes from community coalitions participating in the H...
Leprosy, or Hansen's disease, is a Neglected Tropical Disease (NTD) caused by Mycobacterium leprae that mainly affects the skin and peripheral nerves,...
PURPOSE: Pain management after cardiac surgery is imperative, as inadequate analgesia can increase the risk of myocardial ischemia, thromboembolism, a...
This paper presents a novel framework for detecting and predicting abnormal traffic events on highways. Current traffic monitoring systems often rely ...
Improving translation quality and efficiency is one of the key challenges in the field of Natural Language Processing (NLP). This study proposes an en...
BACKGROUND: Diabetes is a metabolic disease that can lead to severe cardiovascular diseases and neuropathy. The associated medical costs and complicat...
Migraine diagnosis relies on subjective patient reports and International Headache Society guidelines, leading to misdiagnoses. In clinical practice, ...
BACKGROUND: Genetic variations in the Trpm8 gene that encodes the cold receptor TRPM8 have been linked to protection against polygenic migraine, a dis...
BACKGROUND: The opioid crisis poses a significant health challenge in the United States, with increasing overdoses and death rates due to opioids mixe...
Microglial activation is linked to neuroinflammation in neuropathic pain. Recently, microglia-mediated synaptic pruning has received mounting attentio...
Ankylosing spondylitis (AS), which usually occurs in the second and third decades of life, is associated with chronic pain, limitation of mobility, an...
Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing causes symptoms such as neurogenic claudication, r...
BACKGROUND: Postoperative pain is a common and complex issue that affects patients' recovery and the quality of healthcare. Traditional pain assessmen...