AIMC Topic: Pain

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Efficacy of Robots-Assisted Therapy in Patients With Stroke: A Meta-analysis Update.

The Journal of cardiovascular nursing
BACKGROUND: Robot-assisted therapy (RAT) could address an unmet need to relieve the strain on healthcare providers and intensify treatment in the context of an increasing stroke incidence. A comprehensive meta-analysis could provide firmer data about...

Development of an AI-Enabled System for Pain Monitoring Using Skin Conductance Sensoring in Socks.

International journal of neural systems
: Where self-report is unfeasible or observations are difficult, physiological estimates of pain are needed. : Pain-data from 30 healthy adults were gathered to create a database of physiological pain responses. A model was then developed, to analyze...

Effectiveness of robot-assisted virtual reality mirror therapy for upper limb motor dysfunction after stroke: study protocol for a single-center randomized controlled clinical trial.

BMC neurology
BACKGROUND: Upper limb motor dysfunction is a common sequela of stroke, and its clinical efficacy needs to be improved. This protocol describes a trial to verify the clinical efficacy of robot-assisted virtual reality mirror therapy (RAVRMT) in impro...

Variations in Opioid Use Following Robotic Radical Prostatectomy in South Florida.

Journal of endourology
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid prescribing. Our objective was to quantify at-home opioid requirements following radical prostatectomy. ...

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.

Sensors (Basel, Switzerland)
There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia is needed during an operation. Besides hypnosis, adequate analgesia is critical to prevent autonomic reactions. Clinical experience and vital signs a...

An Automatic System for Continuous Pain Intensity Monitoring Based on Analyzing Data from Uni-, Bi-, and Multi-Modality.

Sensors (Basel, Switzerland)
Pain is a reliable indicator of health issues; it affects patients' quality of life when not well managed. The current methods in the clinical application undergo biases and errors; moreover, such methods do not facilitate continuous pain monitoring....

Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.

General thoracic and cardiovascular surgery
A major challenge in treating superior sulcus tumors is achieving complete surgical resection because of technical difficulties associated with the anatomical structures and approaches to the thorax. Our technique combines posterior minimally invasiv...

Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty.

Computational and mathematical methods in medicine
OBJECTIVE: To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to verify its accuracy.

Machine Learning and Pain Outcomes.

Neurosurgery clinics of North America
Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain manage...