Publications by authors named "Shamir Malik"
There has been a rapid expansion in centers performing balloon pulmonary angioplasty (BPA) and pulmonary thromboendarterectomy (PTE) for chronic thromboembolic pulmonary hypertension (CTEPH). The purpose of this scoping review was to identify cardiothoracic imaging predictors of outcomes and to identify gaps to address in future work. A scoping review was conducted using the framework outlined by Arksey and O'Malley and Levac et al.
View Article and Find Full Text PDFAccurate prediction of recurrence and progression in non-muscle invasive bladder cancer (NMIBC) is essential to inform management and eligibility for clinical trials. Despite substantial interest in developing artificial intelligence (AI) applications in NMIBC, their clinical readiness remains unclear. This systematic review aimed to critically appraise AI studies predicting NMIBC outcomes, and to identify common methodological and reporting pitfalls.
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- Children with prune belly syndrome (PBS) often have problems with their kidneys and may need treatments like kidney replacement therapy (KRT).
- This review looked at many studies to find out how common kidney issues are in kids with PBS, finding a big range in results.
- The studies showed that there isn’t a clear understanding of kidney health in PBS patients, so more research is needed to help doctors know what to expect and how to treat these kids better.
Article Synopsis
- The use of artificial intelligence (AI) in the field of urology, particularly concerning urothelial cancer (UC), is becoming increasingly prominent, but comprehensive reviews synthesizing the relevant literature are limited.
- Researchers conducted thorough literature searches and assessed the quality and bias of studies, ultimately including 227 out of 4581 identified studies that utilized AI in various areas such as image analysis, genomics, and radiomics.
- The findings indicate a concerning high risk of bias in most studies and highlight the need for better standardization in reporting AI applications in urology to ensure more reliable and methodologically sound research outcomes.
Article Synopsis
- * The objective was to develop an autonomous CBI system that reduces disruptions, monitors outflow, and alerts healthcare providers about critical events, built using 3D printing and microcontrollers.
- * The prototype successfully simulated CBI with sudden bleeding, effectively managing irrigation rates based on outflow, detecting issues like catheter blockages, and minimizing nurses' workload, with a clinical trial planned for further validation.
Article Synopsis
- This study aims to compare long-term kidney and bladder outcomes in boys with posterior urethral valves (PUV) treated with either primary valve ablation or primary urinary diversion.
- A systematic review included 30 studies with 1547 participants and found that while primary diversion increased odds of renal insufficiency, long-term kidney outcomes were similar when adjusting for initial kidney function.
- The study concludes that further research is needed due to the variability in bladder outcomes and the low-quality evidence currently available.
Background: Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused on physicians, there is a need to assess the perspectives of students across health care disciplines to inform future curriculum development.
Objective: This study aims to explore and identify gaps in the knowledge that Canadian health care students have regarding AI, capture how health care students in different fields differ in their knowledge and perspectives on AI, and present student-identified ways that AI literacy may be incorporated into the health care curriculum.