Clinician Perspectives on Compassionate Deactivation of Pediatric Ventricular Assist Devices.

Following ventricular assist device (VAD) placement, families and clinicians often have differing perspectives. When adverse events reduce patients' quality of life, families and clinicians question the desirability of continuing VAD support. Given the increasing use of VAD in pediatrics, pediatric-specific guidelines for the process of compassionate deactivation (CD) of VAD are needed, based in part on the perspectives of pediatric heart failure clinicians.

Educational Competencies for Artificial Intelligence in Radiology: A Scoping Review.

Objective: The integration of artificial intelligence (AI) in radiology may necessitate refinement of the competencies expected of radiologists. There is currently a lack of understanding on what competencies radiology residency programs should ensure their graduates attain related to AI. This study aimed to identify what knowledge, skills, and attitudes are important for radiologists to use AI safely and effectively in clinical practice.

Building health systems capable of leveraging AI: applying Paul Farmer's 5S framework for equitable global health.

The development of artificial intelligence (AI) applications in healthcare is often positioned as a solution to the greatest challenges facing global health. Advocates propose that AI can bridge gaps in care delivery and access, improving healthcare quality and reducing inequity, including in resource-constrained settings. A broad base of critical scholarship has highlighted important issues with healthcare AI, including algorithmic bias and inequitable and inaccurate model outputs.

Foundation Models in Radiology: What, How, Why, and Why Not.

Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models (FMs), are trained on extensive corpora of unlabeled data and demonstrate high performance across various tasks. FMs have recently received extensive attention from academic, industry, and regulatory bodies.

Evaluation of Hair Growth Promoting Activity of Standardized Soybean Extract on Testosterone-Induced Alopecia.

Millions of men and women suffer from alopecia, especially androgenic alopecia (AGA), which is considered the most common form of hair loss. The available treatments for hair loss include multiple approaches, with the most popular being synthetic drugs including minoxidil and finasteride, in addition to natural products. However, synthetic drugs have shown many undesirable side effects, on the contrary, the specifications of the commonly used natural drugs have not been reported in most of the previous studies, despite the high market preference for them.

Ethical Considerations in the Design and Conduct of Clinical Trials of Artificial Intelligence.

Importance: Safe integration of artificial intelligence (AI) into clinical settings often requires randomized clinical trials (RCT) to compare AI efficacy with conventional care. Diabetic retinopathy (DR) screening is at the forefront of clinical AI applications, marked by the first US Food and Drug Administration (FDA) De Novo authorization for an autonomous AI for such use.

Objective: To determine the generalizability of the 7 ethical research principles for clinical trials endorsed by the National Institute of Health (NIH), and identify ethical concerns unique to clinical trials of AI.

Applied artificial intelligence for global child health: Addressing biases and barriers.

Given the potential benefits of artificial intelligence and machine learning (AI/ML) within healthcare, it is critical to consider how these technologies can be deployed in pediatric research and practice. Currently, healthcare AI/ML has not yet adapted to the specific technical considerations related to pediatric data nor adequately addressed the specific vulnerabilities of children and young people (CYP) in relation to AI. While the greatest burden of disease in CYP is firmly concentrated in lower and middle-income countries (LMICs), existing applied pediatric AI/ML efforts are concentrated in a small number of high-income countries (HICs).

Biological, biochemical and genotoxicological alterations of Benzylamine on Biomphalaria alexandrina snails and its Schistosoma mansoni larvicidal potential.

Biomphalaria spp. snails are freshwater gastropods that responsible for Schistosoma mansoni transmission. Schistosomiasis is a chronic illness that occurred in underdeveloped regions with poor sanitation.

Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care.

Importance: Limited sharing of data sets that accurately represent disease and patient diversity limits the generalizability of artificial intelligence (AI) algorithms in health care.

Objective: To explore the factors associated with organizational motivation to share health data for AI development.

Design, Setting, And Participants: This qualitative study investigated organizational readiness for sharing health data across the academic, governmental, nonprofit, and private sectors.

Inter-institutional data-driven education research: consensus values, principles, and recommendations to guide the ethical sharing of administrative education data in the Canadian medical education research context.

Background: Administrative data are generated when educating, licensing, and regulating future physicians but these data are rarely used beyond their pre-specified purposes. The capacity necessary for sensitive and responsive oversight that supports the sharing of administrative medical education data across institutions for research purposes needs to be developed.

Method: A pan-Canadian consensus-building project was undertaken to develop agreement on the goals, benefits, risks, values, and principles that should underpin inter-institutional data-driven medical education research in Canada.

Perceptions of Data Set Experts on Important Characteristics of Health Data Sets Ready for Machine Learning: A Qualitative Study.

Importance: The lack of data quality frameworks to guide the development of artificial intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in health care and hinders the diagnostic excellence of developed clinical AI applications for patient care.

Objective: To discern what constitutes high-quality and useful data sets for health and biomedical ML research purposes according to subject matter experts.

Design, Setting, And Participants: This qualitative study interviewed data set experts, particularly those who are creators and ML researchers.

Functional role and epithelial to mesenchymal transition of the miR-590-3p/MDM2 axis in hepatocellular carcinoma.

Background: There is considerable evidence that microRNAs (miRNAs) regulate several key tumor-associated genes/pathways and may themselves have a dual regulatory function either as tumor suppressors or oncogenic miRNA, depending on the tumor type. MicroRNA-590-3p (miR-590-3p) is a small non-coding RNA involved in the initiation and progression of numerous tumors. However, its expression pattern and biological role in hepatocellular carcinoma (HCC) are controversial.

The use of ultrasound sliding sign for prediction of adhesions in women undergoing repeated caesarean section.

We carried out this study to validate the use of ultrasound sliding sign to predict intraperitoneal adhesions in women undergoing repeated caesarean section (CS). A cross-section study was performed in women with at least one CS scheduled for an elective CS. We used the sliding sign of the uterus against the anterior abdominal wall to assess intraperitoneal adhesions, positive sliding sign if uterus moved freely and a negative sliding sign if limited mobility.

A Comprehensive Review of Natural Alternatives for Treatment of Alopecia with an Overview of Market Products.

Alopecia or hair loss is a widespread issue that has significant effects on personal well-being for both genders nationally and internationally. In addition, alopecia causes extreme emotional stress and negatively impacts the psychological health and self-esteem of cancer patients suffering from chemotherapy-induced alopecia. Unfortunately, available synthetic medications are costly, invasive, or have extreme adverse effects.

Understanding bariatric patients' experiences of self-management post-surgery: A qualitative study.

Although most bariatric patients achieve significant weight loss and improvements in both physical and mental health-related quality of life (HRQoL) in the short-term, there is wide variability in weight and long-term HRQoL outcomes. The role of bariatric patients' self-management style in explaining variability in long-term outcomes is unclear. This qualitative study examined bariatric patients' self-management experiences after bariatric surgery in relation to long-term outcomes.

The impact of COVID-19 pandemic on bariatric patients' self-management post-surgery.

Background: The coronavirus disease 2019 (COVID-19) pandemic has had far reaching consequences on the health and well-being of the general public. Evidence from previous pandemics suggest that bariatric patients may experience increased emotional distress and difficulty adhering to healthy lifestyle changes post-surgery.

Objective: We aimed to examine the impact of the novel COVID-19 public health crisis on bariatric patients' self-management post-surgery.

Differences in physical and mental health-related quality of life outcomes 3 years after bariatric surgery: a group-based trajectory analysis.

Background: While bariatric surgery has proven to be effective to achieve significant weight loss and short-term improvements in both physical and mental (HRQoL), little is known about the factors associated with long-term decline in mental HRQoL after bariatric surgery.

Objective: To examine differences in physical and mental HRQoL trajectories in a bariatric patient population 3 years after bariatric surgery and examine associated sociodemographic, weight, and mental health factors.

Setting: A Canadian academic bariatric care center.

"Caring About Me": a pilot framework to understand patient-centered care experience in integrated care - a qualitative study.

Objective: The aim of this study is to examine patients' experiences in integrated care (IC) settings.

Design: Qualitative study using semistructured interviews.

Settings: Two IC sites in Toronto, Canada: (1) a community-based primary healthcare centre, supporting patients with hepatitis C and comorbid mental health and substance use issues; and (2) an integrated bariatric surgery programme, an academic tertiary care centre.

Biochemical and apoptotic changes in the nervous and ovotestis tissues of Biomphalaria alexandrina following infection with Schistosoma mansoni.

Infection with trematodes produces physiological and behavioural changes in intermediate snail hosts. One response to infection is parasitic castration, in which energy required for reproduction of the host is thought to be redirected to promote development and multiplication of the parasite. This study investigated some reproductive and biochemical parameters in the nervous (CNS) and ovotestis (OT) tissues of Biomphalaria alexandrina during the course of Schistosoma mansoni infection.

Examining Associations Between Physician Data Utilization for Practice Improvement and Lifelong Learning.

Introduction: Practice data can inform the selection of educational strategies; however, it is not widely used, even when available. This study's purpose was to determine factors that influence physician engagement with practice data to advance competence and drive practice change.

Methods: A practice-based, pan-Canadian survey was administered to three physician subspecialties: psychiatrists (Psy), radiation oncologists (RO), and general surgeons (GS).

Mapping Evidence of Patients' Experiences in Integrated Care: A Scoping Review.

Objectives: Despite the established clinical and cost-effectiveness of integrated care (IC) models for patients with comorbid mental and physical illness, little is known about whether these models facilitate a better care experience from the patient's perspective. The authors conducted a scoping review of the literature to explore how IC influences patients' care experiences.

Methods: MEDLINE, EMBASE, PSYC INFO CINAHL, AMED, the Cochrane Library, and grey literature were searched to identify relevant articles.