AIMC Topic: Pain

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Robot-assisted rehabilitation for total knee or hip replacement surgery patients: A systematic review and meta-analysis.

Medicine
BACKGROUND: This study was performed to update the current evidence and evaluate the effects of robot-assisted rehabilitation (RAR) in comparison with conventional rehabilitation (CR) in patients following total knee (TKR) or hip replacements (THR).

User-centred design for machine learning in health care: a case study from care management.

BMJ health & care informatics
OBJECTIVES: Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical p...

Application of oxycodone in anesthesia induction and overall management of Da Vinci robot-assisted nephrectomy: A randomized controlled trial.

Medicine
BACKGROUND: This study aimed to evaluate the application of oxycodone in anesthesia induction and overall management of Da Vinci robot-assisted nephrectomy.

Classification of Tonic Pain Experience based on Phase Connectivity in the Alpha Frequency Band of the Electroencephalogram using Convolutional Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The complexity of brain activity involved in the generation of the experience of pain makes it hard to identify neural markers able to predict pain states. The within and between subjects variability of pain hinders the predictive potential of machin...

Convolution Neural Network for Pain Intensity Assessment from Facial Expression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Pain is an unpleasant feeling that can reflect a patient's health situation. Since measuring pain is subjective, time-consuming, and needs continuous monitoring, automated pain intensity detection from facial expression holds great potential for smar...

ATLAS: An Adaptive Transfer Learning Based Pain Assessment System: A Real Life Unsupervised Pain Assessment Solution.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Undertreatment or overtreatment of pain will cause severe consequences physiologically and psychologically. Thus, researchers have made great efforts to develop automatic pain assessment approaches based on physiological signals using machine learnin...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

Kyobu geka. The Japanese journal of thoracic surgery
In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harvesting is not so easy because of small exposure and difficult maneuver for long distant target vessel. To expose and harvest left internal mammary arter...

Same-Day Discharge Protocol for Robot-Assisted Radical Prostatectomy: Experience of a High-Volume Referral Center.

Journal of endourology
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to minimize viral exposure and maintain the appropriate surgical treatment for oncologic patients. In thi...

[Arthroscopic-assisted fracture reduction combined with robot-navigated nail placement to treat talar neck fractures].

Zhonghua yi xue za zhi
This study aims to explore the clinical efficacy of arthroscopic-assisted reduction combined with robot-navigated nail placement in the treatment of talar neck fractures. The clinical data of 13 patients with talar neck fracture in Xuzhou Benevolent ...

Automated Extraction of Pain Symptoms: A Natural Language Approach using Electronic Health Records.

Pain physician
BACKGROUND: Pain costs more than $600 billion annually and affects more than 100 million Americans, but is still a poorly understood problem and one for which there is very often limited effective treatment. Electronic health records (EHRs) are the o...