Thinking Globally in the Pursuit of Individual Identity: Diversity, Equity, and Inclusion in the International Journal of Medical Students (IJMS)

Diversity, equity, and inclusion (DEI) are core values that are unequivocally essential to healthcare research and practice. However, global health inequities remain pervasive and disruptive to the delivery of healthcare. This unacceptable lack of inclusivity and equity infiltrates all aspects of medicine, including research and publication. Accordingly, there is a dissemination of unbalanced and homogenous perspectives which are not representative of the global population. The International Journal of Medical Students (IJMS) has strived to counter such biases through the development of content and the process of its publication. Further, the selection of its editorial team and ambassadors is conducted with the intention of diversity. We respect individual differences and celebrate them as strengths adding to the quality of our journal. Therefore, the IJMS has taken a positive step toward an equitable environment by publishing a policy statement on DEI. We hope to lead by example by fostering a culture of inclusivity for all researchers, regardless of background. Though, we recognize the complexity of implementing comprehensive DEI practices and consider it our duty to the community that we continuously develop through a dedicated effort and iterative process

Medical Student Research Journals: The International Journal of Medical Students (IJMS) Legacy

The International Journal of Medical Students (IJMS) has emerged over the past decade as a critical platform for showcasing medical student innovation and experiences. Though the work of trainees has historically been undervalued and over scrutinized, the IJMS is committed to highlighting the immense capacity for novel and robust research in this cohort. Thus, supporting an upcoming generation of leaders in medicine and academia to gain confidence in their work and contribute positively to the scientific community. In this issue of the IJMS, we are proud to present 16 articles from the Americas, Europe, Asia, and Africa. Original research articles cover a breadth of topics, including medical training, impacts of the COVID-19 pandemic on teaching and communication, pediatric respiratory illness, gender equity in medicine, understudied illnesses, and cardiovascular disease. The IJMS is proud to feature first-hand experiences of medical trainees in each issue. Accordingly, in the present issue perspectives of six medical students are outlined following unique and career-altering experiences. From working in palliative care to international outreach program, local vaccination initiatives, and the creation of a student-oriented research and innovation council in India. The IJMs extends our gratitude to our contributors, team, and readers for another remarkable issue

Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study

A diabetic foot infection (DFI) is among the most serious, incurable, and costly to treat conditions. The presence of a DFI renders machine learning (ML) systems extremely nonlinear, posing difficulties in CVD/stroke risk stratification. In addition, there is a limited number of well-explained ML paradigms due to comorbidity, sample size limits, and weak scientific and clinical validation methodologies. Deep neural networks (DNN) are potent machines for learning that generalize nonlinear situations. The objective of this article is to propose a novel investigation of deep learning (DL) solutions for predicting CVD/stroke risk in DFI patients. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) search strategy was used for the selection of 207 studies. We hypothesize that a DFI is responsible for increased morbidity and mortality due to the worsening of atherosclerotic disease and affecting coronary artery disease (CAD). Since surrogate biomarkers for CAD, such as carotid artery disease, can be used for monitoring CVD, we can thus use a DL-based model, namely, Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) for CVD/stroke risk prediction in DFI patients, which combines covariates such as office and laboratory-based biomarkers, carotid ultrasound image phenotype (CUSIP) lesions, along with the DFI severity. We confirmed the viability of CVD/stroke risk stratification in the DFI patients. Strong designs were found in the research of the DL architectures for CVD/stroke risk stratification. Finally, we analyzed the AI bias and proposed strategies for the early diagnosis of CVD/stroke in DFI patients. Since DFI patients have an aggressive atherosclerotic disease, leading to prominent CVD/stroke risk, we, therefore, conclude that the DL paradigm is very effective for predicting the risk of CVD/stroke in DFI patients

Women and Alcohol: Limitations in the Cardiovascular Guidelines

Patients and physicians rely on evidence-based guidelines to guide alcohol consumption recommendations, but significant discrepancies in alcohol consumption limits are found between different international societies. Current American Heart Association (AHA) preventive management guidelines on hypertension, transient ischemic attack, stroke, and stable ischemic heart disease recommend sex-specific daily alcohol consumption limits which are inconsistent from other international society recommendations. In this focused review of current American Heart Association guidelines and their sources, we evaluate the evidence behind sex-specific alcohol consumption cut-offs. We found insufficient experimental and epidemiologic evidence to conclude that women should have a reduced daily alcohol consumption limit as compared to men; further studies are required to determine whether sex-specific differences exist in alcohol metabolism and its related cardiovascular impact

Snakebite Envenomation and Heart: Systematic Review

Snakebite envenomation is a neglected tropical disease which can result in morbidity and mortality. Cardiac implications are poorly understood due to the low frequency of cardiotoxicity combined with a lack of robust information, as snakebites commonly occur in remote and rural areas. This review aims to assess cardiovascular implications of snakebite envenoming and proposes an algorithm for screening of cardiovascular manifestations. A systematic review was performed and 29 articles relating to cardiovascular involvement in snakebite envenomation were selected. Cardiovascular involvement seems to be rare and includes a wide spectrum of outcomes, such as myocardial infarction, ventricular dysfunction, hypotension, cardiac arrest, and myocarditis. In a significant proportion of the cases analyzed (24.39%), the cardiovascular manifestations had major consequences (cardiac arrest, myocardial infarction, malignant ventricular arrhythmias, or death). Clinical monitoring, physical examination, and early electrocardiogram should be considered as key measures to detect cardiovascular involvement in patients with evidence of systemic illness.Sin financiación5.200 JCR (2020) Q2, 42/142 Cardiac & Cardiovascular Systems0.634 SJR (2020) Q2, 156/349 Cardiology and Cardiovascular MedicineNo data IDR 2020UE

Neglected tropical diseases and their impact on cardiovascular health. (The NET-Heart Project)

Las enfermedades tropicales desatendidas (ETD) constituyen un conjunto de afecciones altamente prevalentes en regiones tropicales y subtropicales, asociadas a pobreza y subdesarrollo. Constituyen una verdadera crisis sanitaria, incapacitando y llevando a la muerte a millones de personas anualmente. Esto se ve potenciado por las dificultades socioeconómicas que cursan estos países, mayormente en vías de desa rrollo, lo cual repercute en la calidad de la asistencia sanitaria que pueden proveer a la población. La morbilidad de estas enfermedades se explica por la amplia afectación orgánica que generan. El aparato cardiovascular resulta particularmente afectado, lo que explica en gran medida la morbimortalidad de las ETD. En el presente artículo se revisan los aspectos fundamentales de un proyecto llevado a cabo por los Líderes Emergentes de la Sociedad Interamericana de Cardiología (SIAC), cubriendo diferentes aspectos del impacto sobre el aparato cardiovascular de las ETD: el Proyecto NET-Heart (del inglés, Neglected Tropical Diseases and other Infectious Diseases Affecting the Heart).Neglected tropical diseases (NTD) are a group of diseases with high prevalence in tropical and subtropi cal countries. They are associated to poverty and underdevelopment. Due to its high morbimortality, these conditions are considered a health crisis. The impact of these diseases can be worsened by the poor socioeconomic status of the affected countries, most of them under-developed, which affects the health care provided to patients. The morbidity of these diseases is explained by the wide organic impairment that they produce. The cardiovascular system is par ticularly affected, which explains the high morbimortality of NTD. In this article, we review the key issues of a project elaborated by Emerging Leaders of the Interamerican Society of Cardiology (SIAC), about the cardiovascular impact of NTD: the NET-Heart Project (Neglected Tropical Diseases and other Infectious Diseases affecting the Heart).Sin financiación0.960 JCR (2021) Q4, 148/172 Medicine, General & Internal0.212 SJR (2021) Q4, 1970/2489 Medicine (miscellaneous)No data IDR 2020UE

Neglected Tropical Diseases and Sudden Cardiac Death: The NET-Heart Project

Sudden cardiac death (SCD) is responsible for approximately 6% of global mortality and 25% of cardiovascular (CV) deaths. SCD has been traditionally linked to coronary artery disease, valvular heart disease, cardiomyopathies, and genetic arrhythmia disorders. However, advancements in care for these diseases have not translated to a proportional reduction in SCD. This suggests an important role of underrecognized contributing pathologies. Neglected tropical diseases (NTDs) are a group of illnesses prevalent in tropical and sub-tropical regions which have been understudied partially due to their high prevalence in marginalized populations. The relationship between SCD and Chagas disease has been well-established, though emerging literature suggests that other NTDs with CV involvement may lead to fatal arrhythmias. Additionally, specific therapies for a subset of NTDs put patients at increased risk of malignant arrhythmias and other cardiac complications. This review aims to summarize the association between a group of selected NTDs and SCD

Dengue and the heart

Dengue is a neglected viral arthropod-borne tropical disease transmitted by the bite of infected Aedes spp. mosquitoes. It is responsible for a significant global burden of disease and corresponding socio-economic implications. There are four different virus serotypes, all of which are found predominantly in countries with tropical climates. Patients with dengue may present with cardiovascular (CV) manifestations, contributing to associated death and disability. A systematic review was conducted to identify CV manifestations of dengue, wherein 30 relevant studies were identified in the MEDLINE and PubMed databases. CV complications of dengue include rhythm abnormalities, hypotension, myocarditis, pericarditis and deterioration in myocardial function. Prompt recognition and treatment of CV complications of dengue are essential to reduce morbidity and mortality in these patients, who are at risk of progressing to cardiogenic shock and heart failure.Sin financiación0.802 JCR (2021) Q4, 141/143 Cardiac & Cardiovascular Systems0.297 SJR (2021) Q3, 244/356 Cardiology and Cardiovascular MedicineNo data IDR 2020UE

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

Motivation: The price of medical treatment continues to rise due to (i) an increasing population; (ii) an aging human growth; (iii) disease prevalence; (iv) a rise in the frequency of patients that utilize health care services; and (v) increase in the price. Objective: Artificial Intelligence (AI) is already well-known for its superiority in various healthcare applications, including the segmentation of lesions in images, speech recognition, smartphone personal assistants, navigation, ride-sharing apps, and many more. Our study is based on two hypotheses: (i) AI offers more economic solutions compared to conventional methods; (ii) AI treatment offers stronger economics compared to AI diagnosis. This novel study aims to evaluate AI technology in the context of healthcare costs, namely in the areas of diagnosis and treatment, and then compare it to the traditional or non-AI-based approaches. Methodology: PRISMA was used to select the best 200 studies for AI in healthcare with a primary focus on cost reduction, especially towards diagnosis and treatment. We defined the diagnosis and treatment architectures, investigated their characteristics, and categorized the roles that AI plays in the diagnostic and therapeutic paradigms. We experimented with various combinations of different assumptions by integrating AI and then comparing it against conventional costs. Lastly, we dwell on three powerful future concepts of AI, namely, pruning, bias, explainability, and regulatory approvals of AI systems. Conclusions: The model shows tremendous cost savings using AI tools in diagnosis and treatment. The economics of AI can be improved by incorporating pruning, reduction in AI bias, explainability, and regulatory approvals

Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report

The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people worldwide, with mortality exceeding six million. The average survival span is just 14 days from the time the symptoms become aggressive. The present study delineates the deep-driven vascular damage in the pulmonary, renal, coronary, and carotid vessels due to SARS-CoV-2. This special report addresses an important gap in the literature in understanding (i) the pathophysiology of vascular damage and the role of medical imaging in the visualization of the damage caused by SARS-CoV-2, and (ii) further understanding the severity of COVID-19 using artificial intelligence (AI)-based tissue characterization (TC). PRISMA was used to select 296 studies for AI-based TC. Radiological imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound were selected for imaging of the vasculature infected by COVID-19. Four kinds of hypotheses are presented for showing the vascular damage in radiological images due to COVID-19. Three kinds of AI models, namely, machine learning, deep learning, and transfer learning, are used for TC. Further, the study presents recommendations for improving AI-based architectures for vascular studies. We conclude that the process of vascular damage due to COVID-19 has similarities across vessel types, even though it results in multi-organ dysfunction. Although the mortality rate is ~2% of those infected, the long-term effect of COVID-19 needs monitoring to avoid deaths. AI seems to be penetrating the health care industry at warp speed, and we expect to see an emerging role in patient care, reduce the mortality and morbidity rate