Abstract Background: Large language models (LLMs) have made a significant impact in medicine and demonstrate substantial promise for further development. However, most of the existing research has predominantly centered on English-language tasks with lower medical complexity. This underscores the importance of investigating the performance of state-of-the-art LLMs in more complex specialties, such as cardiology, and in languages beyond English, such as Portuguese. Objective: This study aimed to evaluate and compare leading LLMs based on their performance on the validated cardiology […]

Percolation appears as a ubiquitous phenomenon in nature, with significant practical relevance in the study of networks. Its origins connect to the pioneering work of Paul Flory in 1940 and the foundational research of Broadbent and Hammersley in 1957, which established its intricate mathematical principles,, incorporating concepts from probability, physics, and graph theory. In a network composed of nodes and edges, understanding how percolation operates enables researchers to evaluate the effects of adding or removing an edge or a node […]

Abstract Recent advancements in artificial intelligence (AI) have significantly enhanced the efficiency and quality of nuclear cardiology imaging. AI algorithms, such as generative adversarial networks (GAN) and deep learning (DL) models, are improving image acquisition by reducing noise and correcting motion to minimize radiation exposure while maintaining diagnostic accuracy. AI has also demonstrated the potential to create synthetic attenuation correction (AC) imaging, accounting for soft-tissue attenuation without added computed tomography (CT) imaging. In patients with CT attenuation imaging, AI can […]

Social explosion The creation of various types of AI has led to the generation of a large cluster of data, called “Big Data”. This data storage brings countless possibilities for use, such as in health and education, data interpretation, recognition of writing patterns, and analysis and construction of texts. The social explosion of AI occurred in November 2022, with the launch of the chatbot ChaGTP, developed by OpenAi, which was the first use of generative AI to be successful and […]

Abstract Introduction Intraoperative hypotension (IOH) is a frequent complication associated with adverse cardiovascular, cerebral, and renal outcomes, with increased mortality. Recent evidence indicates that cumulative exposure time to hypotension is a significant factor, related to both the duration and severity of hypotensive episodes. The Hypotension Prediction Index (HPI) algorithm, with active alerts, showed that hypotension periods can be significantly reduced. Objectives To describe an artificial intelligence (AI) algorithm for hypotension prediction integrated into real-time anesthesia record-keeping software and Clinical Decision […]

Abstract In the realm of modern cardiology, the integration of computer-interpreted electrocardiograms (CI-ECGs) has marked the beginning of a new era of diagnostic precision and efficiency. Contemporary electrocardiogram (ECG) integration systems, applying algorithms and artificial intelligence, have modernized the interpretation of heart rhythms and cardiac morphology. Due to their ability to rapidly analyze and interpret ECG recordings CI-ECGs have already profoundly impacted clinical practice. This review explores the evolution of computer interpreted ECG technology, evaluates the pros and cons of […]

Abstract Heart failure with preserved ejection fraction (HFPEF) has become the main phenotypic model of heart failure (HF) in community and referral patients in Brazil and in the world. Despite advances in the development of new drugs for HF treatment, there has been no significant improvement in mortality of this condition. According to many studies, this can be explained by the heterogeneous nature of HF physiopathology, whose basic mechanisms may result in different clinical presentations, culminating in the emerging of […]