Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data.

Cancer research has seen explosive development exploring deep learning (DL) techniques for analysing magnetic resonance imaging (MRI) images for predicting brain tumours. We have observed a substantial gap in explanation, interpretability, and high accuracy for DL models. Consequently, we propose an explanation-driven DL model by utilising a convolutional neural network (CNN), local interpretable model-agnostic explanation (LIME), and Shapley additive explanation (SHAP) for the prediction of discrete subtypes of brain tumours (meningioma, glioma, and pituitary) using an MRI image dataset.

How to design high quality acupuncture trials-a consensus informed by evidence.

An international panel including patients, clinicians, researchers, acupuncture and surgery trialists, statisticians, and experts in clinical epidemiology and methodology have developed new guidance for randomised controlled trials in acupuncture. It addresses the most prevalent and critical concerns of current acupuncture trials and will help funding agencies, trial registers, and journal editors to evaluate the relevance, importance, and quality of submitted trial proposals and completed trials

Stress-Induced Cardiomyopathy Raising Concern for Myocardial Ischemia.

Stress-induced cardiomyopathy (SIC), or Takotsubo syndrome, is considered a reversible dysfunction of the left ventricle that may mimic an acute coronary syndrome (ACS). Patients may present with chest pain, dyspnea, syncope, or other serious complications including cardiogenic shock, ventricular arrhythmias, and thrombus formation. Diagnostic criteria for SIC include several factors, including electrocardiogram changes, cardiac biomarker elevations, ventricular regional wall abnormalities on echocardiogram, and absence of occlusive coronary disease on coronary angiography.

Coronary Vasospasm Presenting as ST-Elevation Myocardial Infarction.

Vasospastic angina (VSA), also known as Prinzmetal angina, is caused by reversible diffuse or focal vasoconstriction of coronary arteries. It is the most common diagnosis among patients presenting with signs of ischemia but no obstructive coronary artery disease. Patients with VSA can present with typical acute coronary syndrome (ACS) symptoms of chest pain or pressure, dyspnea, diaphoresis, fatigue, and syncope.

Does negative pressure wound therapy reduce the odds of infection and improve health-related quality of life in patients with open fractures?

Aims: To evaluate the impact of negative pressure wound therapy (NPWT) on the odds of having deep infections and health-related quality of life (HRQoL) following open fractures.

Methods: Patients from the Fluid Lavage in Open Fracture Wounds (FLOW) trial with Gustilo-Anderson grade II or III open fractures within the lower limb were included in this secondary analysis. Using mixed effects logistic regression, we assessed the impact of NPWT on deep wound infection requiring surgical intervention within 12 months post-injury.

Depression, Anxiety and Stress among Nurses Providing Care to the COVID-19 Patients: A Descriptive Cross-sectional Study.

Introduction: Addressing adequately the mental health during and after COVID-19, as well as preparation for possible future outbreaks, requires an understanding of the nature and extent of mental health impacts, factors related to negative mental health outcomes and symptoms of mental illness. The aim of this study was to find the prevalence of depression, anxiety and stress among nurses providing care to the COVID-19 patients.

Methods: A descriptive cross-sectional study was conducted from 10th April 2021 to 30th June 2021 among 301 nurses from three COVID-19 dedicated hospitals using self-administered questionnaires.

Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection.

Background: Gastric cancer is one of the deadliest malignant diseases, and the non-invasive screening and diagnostics options for it are limited. In this article, we present a multi-modular device for breath analysis coupled with a machine learning approach for the detection of cancer-specific breath from the shapes of sensor response curves (taxonomies of clusters).

Methods: We analyzed the breaths of 54 gastric cancer patients and 85 control group participants.

Breath Sensor Technology for the Use in Mechanical Lung Ventilation Equipment for Monitoring Critically Ill Patients.

Background: The need for mechanical lung ventilation is common in critically ill patients, either with COVID-19 infection or due to other causes. Monitoring of patients being ventilated is essential for timely and improved management. We here propose the use of a novel breath volatile organic compound sensor technology to be used in a mechanical lung ventilation machine for this purpose; the technology was evaluated in critically ill COVID-19 patients on mechanical lung ventilation.

Postoperative mortality in the COVID-positive hip fracture patient, a systematic review and meta-analysis.

Purpose: The extent to which concomitant COVID-19 infection increases short-term mortality following hip fracture is not fully understood. A systemic review and meta-analysis of COVID-19 positive hip fracture patients (CPHFPs) undergoing surgery was conducted to explore the association of COVID-19 with short-term mortality.

Methods: Review of the literature identified reports of short-term 30-day postoperative mortality in CPHFPs.

Factors influencing radial artery occlusion after transradial coronary intervention in the Indian population.

Objective: Radial artery occlusion (RAO) is a common complication during transradial coronary intervention. Its incidence is variably reported in literature and its predictors are not completely understood. In this study, we aimed to define the incidence and factors influencing RAO in patients undergoing transradial coronary intervention.

Virtual reality rehabilitation following total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials.

Purpose: The use of virtual reality (VR) based rehabilitation has increased substantially within orthopedic surgery, particularly in the field of total knee arthroplasty (TKA). The objective of this systematic review and meta-analysis was to compare patient-reported outcomes and cost analyses from randomized controlled trials (RCT) utilizing VR-based rehabilitation in patients following TKA.

Methods: MEDLINE, EMBASE, and Cochrane databases were searched for RCTs involving VR-based rehabilitation following TKA.

High social media attention scores are not reflective of study quality: an altmetrics-based content analysis.

Recent literature has demonstrated the associations between social media attention, as measured by altmetric attention score (AAS), and higher citation rates across medical disciplines. Despite increasing use of AAS, an understanding of factors associated with higher AAS and social media attention remains lacking. Furthermore, if this increased attention correlates with a higher methodological quality and lower biases has not been determined.

Perpetrators of Gender-Based and Sexual Harassment in the Field of Orthopaedic Surgery.

Unlabelled: The prevalence of gender-based and sexual harassment in the field of orthopaedic surgery in Canada is high. Previous research in other jurisdictions has identified the most common perpetrators of harassment to be senior surgeons or directors. We aimed to identify the most frequent perpetrators of gender-based and sexual harassment in orthopaedic surgery in Canada.

Machine learning and artificial intelligence in research and healthcare.

Artificial intelligence (AI) is a broad term referring to the application of computational algorithms that can analyze large data sets to classify, predict, or gain useful conclusions. Under the umbrella of AI is machine learning (ML). ML is the process of building or learning statistical models using previously observed real world data to predict outcomes, or categorize observations based on 'training' provided by humans.

The Role of Hyaluronic Acid for Soft Tissue Indications: A Systematic Review and Meta-Analysis.

Context: Soft tissue injuries are often treated with injectables such as corticosteroids and platelet-rich plasma (PRP) to reduce inflammation and promote healing. There is increasing evidence examining the use of hyaluronic acid (HA) for the management of soft tissue injuries.

Objective: To evaluate the treatment effect and role of HA for available soft tissue indications.

A pilot multicenter randomized controlled trial comparing Bankart repair and remplissage with the Latarjet procedure in patients with subcritical bone loss (STABLE): study protocol.

Introduction: Anterior dislocations, the most common type of shoulder dislocation, are often complicated by subsequent instability. With recurrent dislocations there often is attrition of the labrum and progressive loss of the anterior bony contour of the glenoid. Treatment options for this pathology involve either soft tissue repair or bony augmentation procedure.

Prevalence of gender-based and sexual harassment within orthopedic surgery in Canada.

Background: Gender-based and sexual harassment are prevalent in the medical profession. We aimed to quantify the prevalence of such behaviours within orthopedic surgery in Canada and to identify any risk factors for experiencing gender-based or sexual harassment in the workplace.

Methods: In collaboration with the Canadian Orthopaedic Association, we conducted a Canada-wide email questionnaire survey in June 2019 of all orthopedic surgeons registered with the Canadian Orthopaedic Association and the Canadian Orthopaedic Residents' Association.

Potential benefits, unintended consequences, and future roles of artificial intelligence in orthopaedic surgery research : a call to emphasize data quality and indications.

Artificial intelligence and machine-learning analytics have gained extensive popularity in recent years due to their clinically relevant applications. A wide range of proof-of-concept studies have demonstrated the ability of these analyses to personalize risk prediction, detect implant specifics from imaging, and monitor and assess patient movement and recovery. Though these applications are exciting and could potentially influence practice, it is imperative to understand when these analyses are indicated and where the data are derived from, prior to investing resources and confidence into the results and conclusions.