Latest AI and machine learning research in pain management for healthcare professionals.
With the rising demand for liver transplantation (LT), research on acute rejection (AR) has become i...
Maintaining animal welfare is an essential component of animal production systems. However, multiple...
Chronic pain is prevalent and disproportionately impacts adults with a lower quality of life. Althou...
OBJECTIVE: To develop and compare machine-learning algorithms to predict recovery of ambulation afte...
A Deep Reinforced Cognitive Analytics Model (DRCAM) has been proposed in this work, integrating mult...
BACKGROUND: Neuralgia and other neuropathic pain are difficult to treat owing to their complicated e...
Accurate segmentation of three-dimensional (3D) clinical medical images is critical for the diagnosi...
BACKGROUND: Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-o...
BACKGROUND: Machine learning models can help identify multifaceted factors influencing tobacco use t...
BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common chronic complication of diabetes, marke...
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is c...
Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electron...
BACKGROUND: Internet gaming disorder (IGD) is a pervasive global mental health issue, and finding ef...
Opioids exert their analgesic effect by binding to the ยต opioid receptor (MOR), which initiates a do...
Spinal cord stimulation (SCS) is a well-accepted therapy for refractory chronic pain. However, predi...
Accurate simulation of groundwater level is crucial for the sustainable management of water resource...
It has been difficult historically for physicians, patients, and philosophers alike to quantify pain...
OBJECTIVES: To perform a systematic review and meta-analysis to evaluate the effectiveness of machin...
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...
Existing deep learning methods have achieved significant success in medical image segmentation. Howe...
Accurate and timely classification of skin diseases is essential for effective dermatological diagno...