AIMC Topic: Pain

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Minimally invasive trans-superior articular process percutaneous endoscopic lumbar discectomy with robot assistance.

BMC musculoskeletal disorders
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with robot-assisted percutaneous endoscopic lumbar discectomy (r-PELD) or conventional PELD under fluoroscopy guidance (f-PELD).

Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models.

ACS chemical neuroscience
Pathological pain subtypes can be classified as either neuropathic pain, caused by a somatosensory nervous system lesion or disease, or nociplastic pain, which develops without evidence of somatosensory system damage. Since there is no gold standard ...

Artificial Intelligence-Enabled Evaluation of Pain Sketches to Predict Outcomes in Headache Surgery.

Plastic and reconstructive surgery
BACKGROUND: Recent evidence has shown that patient drawings of pain can predict poor outcomes in headache surgery. Given that interpretation of pain drawings requires some clinical experience, the authors developed a machine learning framework capabl...

A propensity score matching study of totally robotic right hemicolectomy versus robot-assisted right hemicolectomy.

Journal of robotic surgery
To compare and analyze the differences in safety, feasibility and short-term efficacy between robot-assisted right hemicolectomy (RARH) and totally robotic right hemicolectomy (TRRH). We collected the information of 184 patients who underwent right h...

A novel combination of corneal confocal microscopy, clinical features and artificial intelligence for evaluation of ocular surface pain.

PloS one
OBJECTIVES: To analyse various corneal nerve parameters using confocal microscopy along with systemic and orthoptic parameters in patients presenting with ocular surface pain using a random forest artificial intelligence (AI) model.

Clinical safety and efficacy of a fully automated robot for magnetic resonance imaging-guided breast biopsy.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Magnetic resonance imaging (MRI)-guided biopsies are an accurate, but technically challenging, method for screening and diagnosis of breast lesions. This study assesses the safety and efficacy of an Image Guided Automated Robot (IGAR) in ...

Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal.

Sensors (Basel, Switzerland)
Automatic pain intensity assessment from physiological signals has become an appealing approach, but it remains a largely unexplored research topic. Most studies have used machine learning approaches built on carefully designed features based on the ...

A wearable soft robot that can alleviate the pain and fear of the wearer.

Scientific reports
Social soft robotics may provide a new solution for alleviating human pain and fear. Here, we introduce a hand-held soft robot that can be clenched by the wearer. The robot comprises small airbags that can be inflated to provide the wearer with a fee...

Predictive Models for Knee Pain in Middle-Aged and Elderly Individuals Based on Machine Learning Methods.

Computational and mathematical methods in medicine
AIM: This study used machine learning methods to develop a prediction model for knee pain in middle-aged and elderly individuals.

Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A scoping systematic review.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Artificial Intelligence in healthcare is growing quickly in diagnostics and treatment management. Despite the quantity and variety of studies its role in clinical care is not clear. To identify the evidence gaps and characteristics of the Artificial ...