Enhancing Cybersecurity in Healthcare: Organizational Culture as a Cornerstone.

Cybersecurity in healthcare is a growing concern as institutions face increasing cyber threats. This study describes a cybersecurity awareness program on healthcare workers at Hospital Italiano de Buenos Aires (HIBA), using simulation-based training and periodic communication initiatives. The program's outcomes showed improvements in staff knowledge and engagement, reinforcing the importance of continuous education.

Designing a Healthcare Co-Pilot with Generative AI.

This paper presents our methodology for designing, testing, and evaluating a co-pilot tailored for healthcare professionals working in Spanish-speaking contexts. The co-pilot facilitates efficient access to textual information from clinical notes and structured data within Electronic Health Records (EHRs). Its primary objective is to save professionals' time while ensuring accurate information retrieval.

De-Implementation Strategies in Colorectal Cancer: Development, Implementation and Results of a Service-Oriented CDSS.

This study explores the development, implementation and preliminary results of an alert integrated into a EHR to de-implement unnecessary colonoscopies for patients aged 75 and older. From August 20 to November 29, 2024, the CDSS generated 567 alerts across 244 physicians and 499 patients. 91.

Validation of a Natural Language Processing System to Identify Metastatic Castration-Sensitive Prostate Cancer Patients in a Large Cohort of Patients.

Prostate cancer (PC) mortality in Latin America is reported to be twice as high as in developed countries. Combination therapies, such as androgen deprivation therapy (ADT) combined with new hormonal therapies (NHT), are known to improve survival, but their effectiveness in Latin American populations remains understudied. This knowledge limitation can be addressed using artificial intelligence (AI).

TanaGPT: How Can I Help You? A Pilot Testing of a Genai Assistant in a Healthcare Workflow.

The analysis of large EHR data volumes in adult emergency departments contributes to physician burnout due to time-consuming manual information extraction. To address this, Hospital Italiano de Buenos Aires conducted a pilot study integrating TanaGPT, a generative AI assistant, into emergency consultations. This mixed-methods study assessed usability, adoption, and user perceptions through observations, a UMUX-Lite survey, and interviews.

Association of Epicardial Adipose Tissue with Novel Inflammation and Heart Failure Biomarkers in Type 2 Diabetes Patients: Effect of Metabolic Control.

: Type 2 diabetes (T2D patients) have a 74% increased risk of heart failure (HF), but traditional HF biomarkers lack sensitivity in early disease detection. Increased epicardial adipose tissue volume (EATv) is associated with cardiovascular risk in T2D, and novel biomarkers such as growth differentiation factor 15 (GDF15), Galectin-3, and soluble suppression of tumorigenicity 2 (sST2) are inflammation biomarkers linked to HF. : We investigated associations between EATv, inflammation biomarkers, and the effect of metabolic control in 14 healthy controls (HCs) and 36 newly diagnosed T2D patients both before (poor glycemic control, PGC) and after 12 months of glycemic optimization (good glycemic control, GGC).

Low-Density Lipoprotein Subfraction Phenotype Is Associated with Epicardial Adipose Tissue Volume in Type 2 Diabetes.

: Increased epicardial adipose tissue (EAT) volume is a common feature in type 2 diabetes (T2DM) which is directly associated with heart failure and advanced atherosclerosis. We aimed to evaluate lipoprotein-related biomarkers of EAT volume in T2DM patients before and after glycemic control. : This study included 36 T2DM patients before and after optimization of glycemic control and on 14 healthy controls (HCs).

Alterations in LDL and HDL after an ischemic stroke associated with carotid atherosclerosis are reversed after 1 year.

Approximately, 20% of ischemic strokes are attributed to the presence of atherosclerosis. Lipoproteins play a crucial role in the development of atherosclerosis, with LDL promoting atherogenesis and HDL inhibiting it. Therefore, both their concentrations and their biological properties are decisive factors in atherosclerotic processes.

Atherogenic circulating lipoproteins in ischemic stroke.

The fundamental role of qualitative alterations of lipoproteins in the early development of atherosclerosis has been widely demonstrated. Modified low-density lipoproteins (LDL), such as oxidized LDL (oxLDL), small dense LDL (sdLDL), and electronegative LDL [LDL(-)], are capable of triggering the atherogenic process, favoring the subendothelial accumulation of cholesterol and promoting inflammatory, proliferative, and apoptotic processes characteristic of atherosclerotic lesions. In contrast, high-density lipoprotein (HDL) prevents and/or reverses these atherogenic effects.

sICAM-1 concentrations are associated with inflammation in contralateral carotid plaque in patients with ischemic stroke.

Background: Atherosclerotic plaques in the internal carotid artery are responsible for more than 15% of ischemic strokes. Carotid F-fluorodeoxyglucose positron emission tomography (F-FDG PET) detects plaque inflammation. Plasma ICAM-1 and LRP1 concentrations have been associated with inflammation in ipsilateral carotid plaque.

Apolipoprotein J protects cardiomyocytes from lipid-mediated inflammation and cytotoxicity induced by the epicardial adipose tissue of diabetic patients.

Diabetic patients present increased volume and functional alterations in epicardial adipose tissue (EAT). We aimed to analyze EAT from type 2 diabetic patients and the inflammatory and cytotoxic effects induced on cardiomyocytes. Furthermore, we analyzed the cardioprotective role of apolipoprotein J (apoJ).

Artificial Intelligence Assistance for the Measurement of Full Alignment Parameters in Whole-Spine Lateral Radiographs.

Background: Measuring spinal alignment with radiological parameters is essential in patients with spinal conditions likely to be treated surgically. These evaluations are not usually included in the radiological report. As a result, spinal surgeons commonly perform the measurement, which is time-consuming and subject to errors.

PCSK9 plasma concentration is associated with epicardial adipose tissue volume and metabolic control in patients with type 1 diabetes.

Patients with type 1 diabetes (T1D) have a greater risk of cardiovascular disease. Proconvertase subtilisin-kexin 9 (PCSK9) is involved in the atherosclerosis process. This study aimed to determine the relationship between PCSK9 levels and epicardial adipose tissue (EAT) volume and cardiometabolic variables in patients with T1D.

Bioinformatics Architecture for Integrating Genomics Data into Electronic Health Records.

The adequate management of patients' genomic information is essential for any health institution pursuing the Precision Medicine model. Here we approach a bioinformatic architecture that allows the Institution to store its whole genetic test data in a scalable database, and also the integration of that genetic data with the Electronic Health Record through a Clinical Decision Support System. The system complements patient care by suggesting referral to genetic counseling for patients who are potentially at risk of hereditary breast/ovarian cancer, and allowing for proper follow-up of patients with pathogenic variants in BRCA1 or BRCA2 genes.

Development of an ASR System for Medical Conversations.

In this work we document the development of an ASR system for the transcription of conversations between patient and doctor and we will point out the critical aspects of the domain. The system was trained with an acoustic base of spontaneous speech that has a domain language model and a supervised phonetic dictionary. Its performance was compared with two systems: a) NeMo End-to-End Conformers in Spanish and b) Google API ASR (Automatic Speech Recognition) Cloud.

Integrating Dermoscopic Images into PACS Using DICOM and Modality Worklist.

Dermatology is one of the medical fields outside the radiology service that uses image acquisition and analysis in its daily medical practice, mostly through digital dermoscopy imaging modality. The acquisition, transfer, and storage of dermatology images has become an important issue to resolve. We aimed to describe our experience in integrating dermoscopic images into PACS using DICOM as a guide for the health informatics and dermatology community.

Automatic Speech Recognition System to Record Progress Notes in a Mobile EHR: A Pilot Study.

Creating notes in the EHR is one of the most problematic aspects for health professionals. The main challenges are the time spent on this task and the quality of the records. Automatic speech recognition technologies aim to facilitate clinical documentation for users, optimizing their workflow.

Pharmacological modulation of vascular ageing: A review from VascAgeNet.

Vascular ageing, characterized by structural and functional changes in blood vessels of which arterial stiffness and endothelial dysfunction are key components, is associated with increased risk of cardiovascular and other age-related diseases. As the global population continues to age, understanding the underlying mechanisms and developing effective therapeutic interventions to mitigate vascular ageing becomes crucial for improving cardiovascular health outcomes. Therefore, this review provides an overview of the current knowledge on pharmacological modulation of vascular ageing, highlighting key strategies and promising therapeutic targets.

A dataset of skin lesion images collected in Argentina for the evaluation of AI tools in this population.

In recent years, numerous dermatological image databases have been published to make possible the development and validation of artificial intelligence-based technologies to support healthcare professionals in the diagnosis of skin diseases. However, the generation of these datasets confined to certain countries as well as the lack of demographic information accompanying the images, prevents having a real knowledge of in which populations these models could be used. Consequently, this hinders the translation of the models to the clinical setting.

Novel Therapeutic Approaches to Prevent Atherothrombotic Ischemic Stroke in Patients with Carotid Atherosclerosis.

Atherothrombotic stroke represents approximately 20% of all ischemic strokes. It is caused by large-artery atherosclerosis, mostly in the internal carotid artery, and it is associated with a high risk of early recurrence. After an ischemic stroke, tissue plasminogen activator is used in clinical practice, although it is not possible in all patients.

Radiomics and Machine Learning for prediction of two-year disease-specific mortality and KRAS mutation status in metastatic colorectal cancer.

Purpose: Colorectal cancer is usually accompanied by liver metastases. The prediction of patient evolution is essential for the choice of the appropriate therapy. The aim of this study is to develop and evaluate machine learning models to predict KRAS gene mutations and 2-year disease-specific mortality from medical images.

Increased sLRP1 and decreased atrial natriuretic peptide plasma levels in newly diagnosed T2DM patients are normalized after optimization of glycemic control.

Background: Low-density lipoprotein receptor-related protein 1 (LRP1) negatively modulates circulating atrial natriuretic peptide (ANP) levels. Both molecules are involved in the regulation of cardiometabolism.

Objectives: To evaluate soluble LRP1 (sLRP1) and ANP levels in people with newly diagnosed type 2 diabetes mellitus (T2DM) and determine the effects of metabolic optimization.

Special Issue: New Insight into the Molecular Role of Lipids and Lipoproteins in Vascular Diseases.

Lipids and lipoproteins play a key role in cardiovascular diseases (CVD), mainly in the development of atherosclerosis [...

Association of candidate genetic variants and circulating levels of ApoE/ApoJ with common neuroimaging features of cerebral amyloid angiopathy.

Introduction: Cerebral amyloid angiopathy (CAA) is characterized by the accumulation of amyloid-β (Aβ) in brain vessels and is a main cause of lobar intracerebral hemorrhage (ICH) in the elderly. CAA is associated with magnetic resonance imaging (MRI) markers of small vessel disease (SVD). Since Aβ is also accumulated in Alzheimer's disease (AD) in the brain parenchyma, we aimed to study if several single nucleotide polymorphisms (SNPs) previously associated with AD were also associated with CAA pathology.