A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging.

The combination of medical imaging and deep learning has significantly improved diagnostic and prognostic capabilities in the healthcare domain. Nevertheless, the inherent complexity of deep learning models poses challenges in understanding their decision-making processes. Interpretability and visualization techniques have emerged as crucial tools to unravel the black-box nature of these models, providing insights into their inner workings and enhancing trust in their predictions.

Machine learning in heart failure diagnosis, prediction, and prognosis: review.

Globally, cardiovascular diseases take the lives of over 17 million people each year, mostly through myocardial infarction, or MI, and heart failure (HF). This comprehensive literature review examines various aspects related to the diagnosis, prediction, and prognosis of HF in the context of machine learning (ML). The review covers an array of topics, including the diagnosis of HF with preserved ejection fraction (HFpEF) and the identification of high-risk patients with HF with reduced ejection fraction (HFrEF).

Erratum: Clinical trials landscape in lower middle-income country (Pakistan) - CORRIGENDUM.

[This corrects the article DOI: 10.1017/cts.2023.

Clinical trials landscape in a lower-middle-income country (Pakistan).

In recent times, there have been calls from within the developing nations for increased ownership by governmental research bodies and universities of the priority research setting and research that aligns with national health strategies. This is a review paper of the studies that have been published on clinical trials in developing countries, with a focus mainly on Pakistan. The literature review used online databases such as PubMed, Scopus, and Google Scholar, World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP), and ClinicalTrials.

Advancements in the Management of Endocrine System Disorders and Arrhythmias: A Comprehensive Narrative Review.

In recent years, notable advancements have been made in managing endocrine system disorders and arrhythmias. These advancements have brought about significant changes in healthcare providers' approach towards these complex medical conditions. Endocrine system disorders encompass a diverse range of conditions, including but not limited to diabetes mellitus, thyroid dysfunction, and adrenal disorders.

Integrative Medicine Approaches: Bridging the Gap Between Conventional and Renal Complementary Therapies.

The global incidence of renal disorders is on the rise, demanding the implementation of novel and comprehensive strategies for patient care. The present study demonstrates the significance of renal health, offering a comprehensive comprehension of renal physiology and the escalating load of renal illnesses. The relevance of controlling renal illnesses is underscored by a thorough examination of conventional treatments, which encompass pharmaceutical interventions, dialysis, and transplantation.

A Systematic Review and Meta-Analysis on the Efficacy and Safety of Finerenone Therapy in Patients with Cardiovascular and Chronic Kidney Diseases in Type 2 Diabetes Mellitus.

The purpose of this study is to assess the safety and efficacy of finerenone therapy in type 2 diabetes mellitus (T2DM) patients with cardiovascular and chronic renal diseases. This meta-analysis assesses the efficacy and safety of finerenone in the treatment of diabetic kidney disease (DKD). A comprehensive search of PubMed, Embase, and Google Scholar databases was performed to identify relevant randomized controlled trials (RCTs).

Comparative Efficacy and Safety Profiles of High-power, Short-duration and Low-power, Long-duration Radiofrequency Ablation in Atrial Fibrillation: A Systematic Review and Meta-analysis.

High-power, short-duration (HPSD) radiofrequency (RF) ablation is expected to be more effective and safer than low-power, long-duration (LPLD) RF ablation in treating atrial fibrillation (AF). Given the limited data available, the findings are controversial. This meta-analysis evaluated whether the clinical effects of HPSD outweigh those of LPLD.

Comment on: Effect of Flu Vaccination on Severity and Outcome of Heart Failure Decompensations.

We evaluated the study "[Effect of Flu Vaccination on Severity and Outcome of Heart Failure Decompensations" by Miró et al. [1]. This insightful paper explores the potential influence of flu vaccination on the severity and outcomes of heart failure decompensations, illuminating a crucial connection between cardiovascular health and preventing infectious diseases.

Comment on: Frailty in elderly patients with acute heart failure increases readmission.

The study by Danika et al. titled 'Frailty in elderly patients with acute heart failure increases readmission' is worth to read. The effect of frailty on readmission rates in elderly patients with acute heart failure is a significant and current issue that the authors have explored.

Artificial intelligence in critical illness and its impact on patient care: a comprehensive review.

Artificial intelligence (AI) has great potential to improve the field of critical care and enhance patient outcomes. This paper provides an overview of current and future applications of AI in critical illness and its impact on patient care, including its use in perceiving disease, predicting changes in pathological processes, and assisting in clinical decision-making. To achieve this, it is important to ensure that the reasoning behind AI-generated recommendations is comprehensible and transparent and that AI systems are designed to be reliable and robust in the care of critically ill patients.