A Hybrid Deep Learning Model with Data Augmentation to Improve Tumor Classification Using MRI Images.

Background: Cancer ranks second among the causes of mortality worldwide, following cardiovascular diseases. Brain cancer, in particular, has the lowest survival rate of any form of cancer. Brain tumors vary in their morphology, texture, and location, which determine their classification.

An Ensemble Machine Learning and Data Mining Approach to Enhance Stroke Prediction.

Stroke poses a significant health threat, affecting millions annually. Early and precise prediction is crucial to providing effective preventive healthcare interventions. This study applied an ensemble machine learning and data mining approach to enhance the effectiveness of stroke prediction.

Papillon-Lefèvre syndrome in dental pediatric patient: A comprehensive review.

Introduction: PapillonLefèvre syndrome (PLS) is an autosomal recessive genetic disorder characterized by the presence of palmoplantar hyperkeratosis on the hands and feet, as well as severe periodontal disease affecting both the primary and permanent teeth, which can lead to premature tooth loss.

Aims: This review aimed to characterize the etiology, clinical manifestations, diagnosis, and recent dental management strategies of pediatric patients with PLS.

Material And Methods: A comprehensive search of the electronic literature was conducted using specific keywords such as "PapillonLefèvre syndrome in dentistry," "Etiology of PapillonLefèvre syndrome," "Oral manifestations of PapillonLefèvre syndrome," "Management of PapillonLefèvre syndrome," and "Papillon-Lefèvre syndrome.

Machine Learning-Based Predictive Models for Detection of Cardiovascular Diseases.

Cardiovascular diseases present a significant global health challenge that emphasizes the critical need for developing accurate and more effective detection methods. Several studies have contributed valuable insights in this field, but it is still necessary to advance the predictive models and address the gaps in the existing detection approaches. For instance, some of the previous studies have not considered the challenge of imbalanced datasets, which can lead to biased predictions, especially when the datasets include minority classes.

Safety of Non-steroidal Anti-inflammatory Drugs as Part of Enhanced Recovery After Laparoscopic Sleeve Gastrectomy-A Systematic Review and Meta-Analysis.

Laparoscopic sleeve gastrectomy (LSG) is an effective bariatric surgery option for managing extreme obesity in most patients. While non-steroidal anti-inflammatory drugs (NSAIDs) promise postoperative pain management after bariatric surgeries, their safety in LSG remains unexplored. In this systematic review, we studied the safety of NSAIDs following LSG reported by six studies involving 588 patients.

Awareness of healthcare providers on environment-friendly practices in operating rooms in selected hospitals in Riyadh, Saudi Arabia.

Climate change will have a great impact on humanity in upcoming years and will affect the health of all living creatures. Hospitals play a significant role in climate change due to their substantial waste production and they are considered a profound pollution source, with the Operating Theater as a main contributor. This study was aimed to examine the level of knowledge among healthcare professionals in Saudi Arabia concerning the proper implementation of operating room (OR) environmental procedures and efficient management of hospital waste.

Determining a Trustworthy Application for Medical Data Visualizations through a Knowledge-Based Fuzzy Expert System.

Medical data, such as electronic health records, are a repository for a patient's medical records for use in the diagnosis of different diseases. Using medical data for individual patient care raises a number of concerns, including trustworthiness in data management, privacy, and patient data security. The introduction of visual analytics, a computing system that integrates analytics approaches with interactive visualizations, can potentially deal with information overload concerns in medical data.

An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model.

Knee osteoarthritis (OA) detection is an important area of research in health informatics that aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we investigate the ability of DenseNet169, a deep convolutional neural network architecture, for knee osteoarthritis detection using X-ray images. We focus on the use of the DenseNet169 architecture and propose an adaptive early stopping technique that utilizes gradual cross-entropy loss estimation.

Improving the Trustworthiness of Interactive Visualization Tools for Healthcare Data through a Medical Fuzzy Expert System.

Successful healthcare companies and illness diagnostics require data visualization. Healthcare and medical data analysis are needed to use compound information. Professionals often gather, evaluate, and monitor medical data to gauge risk, performance capability, tiredness, and adaptation to a medical diagnosis.

Smart Home Privacy Protection Methods against a Passive Wireless Snooping Side-Channel Attack.

Smart home technologies have attracted more users in recent years due to significant advancements in their underlying enabler components, such as sensors, actuators, and processors, which are spreading in various domains and have become more affordable. However, these IoT-based solutions are prone to data leakage; this privacy issue has motivated researchers to seek a secure solution to overcome this challenge. In this regard, wireless signal eavesdropping is one of the most severe threats that enables attackers to obtain residents' sensitive information.

Glycemic Control for Type 2 Diabetes Mellitus Patients: A Systematic Review.

Diabetes mellitus is a chronic metabolic disorder resulting in hyperglycemia and microvascular and macrovascular complications in individuals globally. Type 2 diabetes mellitus (T2DM) is highly prevalent and accounts for 90% of patients. Maintaining blood glucose concentration is essential to avoid severe complications.

Partial dehiscence of an intraoperative staple line during laparoscopic sleeve gastrectomy: A case report.

Introduction: Leakage along a staple line during sleeve gastrectomy is a serious complication. Mechanical causes are uncommon; however, they should be considered as sources of acute postoperative leaks. The presented case discusses an important intraoperative complication with an avoidable cause that could benefit practicing surgeons as well as residents in training programs.

Effect of epidural analgesia on postoperative opioid requirements following elective laparotomies performed at Vancouver General Hospital.

Background: Enhanced recovery pathways aim to reduce postoperative opioid use and opioid-related complications. These pathways often include epidural analgesia (EA). This study examines postoperative opioid use after elective laparotomy with and without EA.

Lower versus higher dose of enteral caloric intake in adult critically ill patients: a systematic review and meta-analysis.

Background: There is conflicting evidence about the relationship between the dose of enteral caloric intake and survival in critically ill patients. The objective of this systematic review and meta-analysis is to compare the effect of lower versus higher dose of enteral caloric intake in adult critically ill patients on outcome.

Methods: We reviewed MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Scopus from inception through November 2015.

Laparoscopic Cholecystectomy for Acute Calcular Cholecystitis in a Patient with Ventriculoperitoneal Shunt: A Case Report and Literature Review.

Management of patients who have ventriculoperitoneal shunt presenting with acute calcular cholecystitis has remained a clinical challenge. In this paper, the hospital course and the follow-up of a patient presenting with acute calcular cholecystitis and ventriculoperitoneal shunt managed with laparoscopic cholecystectomy are presented followed by literature review on the management of acute calcular cholecystitis in patients who have ventriculoperitoneal shunts.