Latest AI and machine learning research in pain management for healthcare professionals.
OBJECTIVE: To clarify the clinical, neuropathologic, and virologic characteristics of progressive multifocal leukoencephalopathy (PML) and its immune reconstitution inflammatory syndrome (IRIS) in a patient with fingolimod-treated MS.
Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform recognition tasks without exploiting the temporal correlations between input data samples. Convoluti...
BACKGROUND: Vitamin D is a fat soluble vitamin with hormonal properties, plays crucial functions in bone and mineral metabolism and has important regu...
This single arm pre-post study aimed at evaluating the acute effects induced by a single session of robot-assisted passive hand mobilization on local ...
OBJECTIVE: Diabetic neuropathy is a chronic and often disabling condition that affects a significant number of individuals with diabetes mellitus (DM)...
Many ant species use distributed population density estimation in applications ranging from quorum sensing, to task allocation, to appraisal of enemy ...
l-Corydalmine (l-CDL) is a potent analgesic constituent of the traditional Chinese medicine, Rhizoma Corydalis. However, the pharmacokinetic process a...
BACKGROUND: Spasticity is a muscle disorder associated with upper motor neuron syndrome occurring in neurological disorders, such as stroke, multiple ...
BACKGROUND: Spinal anesthesia is the method of choice for most elective and emergency Cesarean sections. To increase the duration of anesthesia and im...
BACKGROUND: Epidural anesthesia is widely used for postoperative analgesia and rarely causes permanent neurological complications. We report a case of...
BACKGROUND: Recent literature has established the role of stellate ganglion block (SGB) for management of acute postoperative pain. The effects of dex...
This paper presents a novel approach for evaluating LBP in various settings. The proposed system uses cost-effective inertial sensors, in conjunction ...
OBJECTIVES: This study aimed to provide an empirical model of predicting low back pain (LBP) by considering the occupational, personal, and psychologi...
Vitamin D deficiency following malabsorptive bariatric surgery can lead to osteomalacia. We report a patient with severe vitamin D deficiency followin...
OBJECTIVE: Prolonging the duration of sensory blockade with bupivacaine following supraclavicular brachial plexus block is desirable for improved post...
OBJECTIVE: Supraclavicular brachial plexus block is preferable to general anaesthesia in upper limb surgeries. Various adjuvants have been added to im...
One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decisio...
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classifi...
. Guillain-Barré Syndrome (GBS) is a potentially fatal autoimmune neurological disorder. The severity varies among the four main subtypes, named as Ac...
There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge...