Latest AI and machine learning research in pain management for healthcare professionals.
Cancer remains the second leading cause of death worldwide. Tumor invasion and metastasis pose significant challenges for clinical management. In addition to the traditional pathways of metastasis such as hematologic or lymphatic transmission, perineural invasion (PNI) has become a unique mechanism of metastasis, which is closely associated with neuropathic pain, motor deficits, and poor prognosis...
BACKGROUND: In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their conditions, as headaches are neither fatal nor contagious. In many cases, patients with migraine are often misdiagnosed as regular headaches.
BACKGROUND: Self-limited epilepsy with centrotemporal spikes (SeLECTS), a common childhood focal epilepsy syndrome, is linked to cognitive impairments...
Medical image segmentation plays an important role in medical diagnosis and treatment. Most recent medical image segmentation methods are based on a c...
With the digital transformation of the financial industry, credit score prediction, as a key component of risk management, faces increasingly complex ...
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the a...
Face forgery detection (FFD) is devoted to detecting the authenticity of face images. Although current CNN-based works achieve outstanding performan...
People exhibit unique emotional responses. In the same scenario, the emotional reactions of two individuals can be either similar or vastly differen...
Human skeleton-based action recognition has long been an indispensable aspect of artificial intelligence. Current state-of-the-art methods tend to c...
Deformable image registration is a fundamental requirement for medical image analysis. Recently, transformers have been widely used in deep learning...
Network intrusion detection is critical for securing modern networks, yet the complexity of network traffic poses significant challenges to traditio...
Medical image segmentation plays a crucial role in assisting healthcare professionals with accurate diagnoses and enabling automated diagnostic proc...
In recent years, the intersection of Natural Language Processing (NLP) and public health has opened innovative pathways for investigating various do...
Autoregressive models have emerged as a powerful approach for visual generation but suffer from slow inference speed due to their sequential token-b...
The automatic estimation of pain is essential in designing an optimal pain management system offering reliable assessment and reducing the suffering...
Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Cu...
Radiology report generation (RRG) models typically focus on individual exams, often overlooking the integration of historical visual or textual data...
The imperative for early detection of type 2 diabetes mellitus (T2DM) is challenged by its asymptomatic onset and dependence on suboptimal clinical ...
Road traffic forecasting is crucial in real-world intelligent transportation scenarios like traffic dispatching and path planning in city management...
Electroencephalography (EEG) is a non-invasive technique to measure and record brain electrical activity, widely used in various BCI and healthcare ...