Latest AI and machine learning research in pain management for healthcare professionals.
: The lumbar stabilization exercise is one of the most recommended treatments in medical professionals for patients suffering from low back pain. However, because lumbar stabilization exercise is calisthenics, it is challenging to perform because of the body load of the elderly, disabled, and patients that lack muscle strength. Additionally, it interferes with the effect of exercise because it can...
Pain is often characterized as a fundamentally subjective phenomenon; however, all pain assessment reduces the experience to observables, with strengths and limitations. Most evidence about pain derives from observations of pain-related behavior. There has been considerable progress in articulating the properties of behavioral indices of pain; especially, but not exclusively those based on facial ...
Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthes...
BACKGROUND: Paravertebral blocks are one of the possible postoperative pain management modalities after laparotomy. Adjuvants to local anesthetics, in...
OBJECTIVES: Liquid medications provide an alternative to splitting pills and dosages by measuring an amount of liquid rather than crushing tablets or ...
Low flow extracorporeal carbon dioxide removal (ECCO2R) is a promising approach to correct hypercapnic lung failure, facilitate lung protective ventil...
RATIONALE AND OBJECTIVES: The use of natural language processing (NLP) in radiology provides an opportunity to assist clinicians with phenotyping pati...
Gait recognition is an emerging biometric technology that can be used to protect the privacy of wearable device owners. To improve the performance of ...
AIM: This study aims to test the feasibility of the PainChek app to assess pain for people with dementia living in residential aged care facilities (R...
In recent years, deep learning technology has shown superior performance in different fields of medical image analysis. Some deep learning architectur...
Electroencephalogram (EEG)-based quantitative pain measurement is valuable in the field of clinical pain treatment, providing objective pain intensity...
With the development in the field of neural networks,(XAI), is being studied to ensure that artificial intelligence models can be explained. There are...
BACKGROUND: Recently, several case reports and limited randomized studies have shown that quadratus lumborum blocks (QLB) are effective in providing p...
Vital signs, such as heart rate and oxygen saturation, are continuously monitored for infants in neonatal care units. Pharmacological interventions ca...
BACKGROUND AND AIMS: For effective patient-controlled epidural analgesia (PCEA) without many systemic effects after major intra-abdominal surgeries, o...
Adverse nursing events occur suddenly, unpredictably, or unexpectedly during course of clinical diagnosis and treatment processes in the hospitals. Th...
BACKGROUND: Robot-assisted laparoscopic prostatectomy (RALP) is a favored surgical approach for treating prostate cancer. However, RALP does not decre...
Laparoscopic pectopexy is an alternative to sacrocolpopexy utilizing fixation points in the anterior pelvis for vaginal vault suspension; it was origi...
Osteoarthritis is a chronic disease that affects the temporomandibular joint (TMJ), causing chronic pain and disability. To diagnose patients sufferin...
No anti-cocaine addiction drugs have been approved by the Food and Drug Administration despite decades of effort. The main challenge is the intricate ...