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 Background Digital health uses innovative information technology for healthcare needs. Virtual reality (VR) is increasingly adopted in healthcare, including cardiovascular rehabilitation (CVR), to improve performance and adherence. However, digital interventions must consider users’ perspectives to prevent VR from becoming a barrier. Objective This study aimed to assess the usability and enjoyment of physical activity associated with VR among inpatients with heart failure (HF). Method A prospective pilot study was conducted with ten patients diagnosed with HF. Participants completed an […]

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 […]

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 Background: Patients with chronic heart failure (HF) require outpatient monitoring after hospital discharge. The ability to use a smartphone with a personal messaging application may help. Objectives: Tis study aimed to investigate the feasibility of remote monitoring and evaluate its impact on treatment adherence and prognosis in patients with HF. Methods: A total of 100 patients were enrolled in the study: 57 patients in the mHealth group and 43 in the control group. The observation period lasted six months. […]

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 […]