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Pain

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Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes.

Rheumatology (Oxford, England)
OBJECTIVES: Knee joint distraction (KJD) has been associated with clinical and structural improvement and SF marker changes. The current objective was to analyse radiographic changes after KJD using an automatic artificial intelligence-based measurem...

Robotic versus nonrobotic sacroiliac joint fusion.

Neurosurgical focus
OBJECTIVE: Robot-assisted pedicle screw placement in spinal fusion has been well studied. However, few studies have evaluated robot-assisted sacroiliac joint (SIJ) fusion. The aim of this study was to compare surgical characteristics, accuracy, and c...

Single-Port Multiple-Port Robot-Assisted Laparoscopic Pyeloplasty for the Treatment of Ureteropelvic Junction Obstruction: A Systematic Review and Meta-Analysis.

Journal of endourology
Single-port robot-assisted pyeloplasty (SP-RP) has been performed in recent years. However, the advantages and disadvantages of SP-RP compared with multiple-port robot-assisted pyeloplasty (MP-RP) remain unclear. The purpose of this meta-analysis wa...

Using artificial intelligence to improve pain assessment and pain management: a scoping review.

Journal of the American Medical Informatics Association : JAMIA
CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and t...

[Robot-assisted Segmentectomy for Lung Cancer].

Kyobu geka. The Japanese journal of thoracic surgery
The role of segmentectomy for lung cancer is expected to increase owing to the results of Japan Clinical Oncology Group (JCOG) 0802. Moreover, the major advantage of robot-assisted thoracic surgery (RATS) is that it allows high precision of dissectio...

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...