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Pain

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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...

Cluster-Then-Classify Methodology for the Identification of Pain Episodes in Chronic Diseases.

IEEE journal of biomedical and health informatics
Chronic diseases benefit of the advances on personalize medicine coming out of the integrative convergence of significant developments in systems biology, the Internet of Things and Artificial Intelligence. 70% to 80% of all healthcare costs in the E...

Sacroiliac Joint Fusion Using Robotic Navigation: Technical Note and Case Series.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Patients undergoing sacroiliac (SI) fusion can oftentimes experience significant improvements in pain and quality of life.

Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

Sensors (Basel, Switzerland)
With the development of robot technology, robot utilization is expanding in industrial fields and everyday life. To employ robots in various fields wherein humans and robots share the same space, human safety must be guaranteed in the event of a huma...

Simulating dynamic facial expressions of pain from visuo-haptic interactions with a robotic patient.

Scientific reports
Medical training simulators can provide a safe and controlled environment for medical students to practice their physical examination skills. An important source of information for physicians is the visual feedback of involuntary pain facial expressi...

Automatic detection and classification of knee osteoarthritis using deep learning approach.

La Radiologia medica
PURPOSE: We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-ray images and illustrate the possibility of deep learning techniques to predict knee OA as per the Kellgren-Lawrence (KL) grading system. The purpose of th...