This article describes the hemodynamic effects of IABC therapy on patients supported with real timing. Criteria used to assess "proper" timing are discussed and challenged as they relate to the limited research available on the subject and to the cases in this article. It is important that clinicians who time the IAB consoles and assess therapeutic benefit of this therapy are aware of the different timing modalities and their potential benefits or ill effects in certain patient populations. The observations made by the authors strongly suggest the need for clinical research, case reports, and further evidence of valid assessment criteria to develop a research-based theory for practice of IABC timing and to provide criteria for selecting timing modalities for specific patient populations.
Download full-text PDF |
Source |
---|
Front Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Trinity Health Oakland Hospital, Pontiac, USA.
Cerebral venous thrombosis (CVT) is a rare and complex form of stroke, representing a small percentage of all stroke cases. The disease's clinical presentation is highly variable, involving a wide range of medical specialists due to its diverse manifestations. Over the past decade, significant advancements in understanding CVT have been made, particularly in light of the COVID-19 pandemic and subsequent vaccination efforts.
View Article and Find Full Text PDFHardwareX
March 2025
National Center for Adaptive Neurotechnologies, Stratton VA Medical Center, Albany, NY, USA.
In neuroscience, accurately correlating brain activity with stimuli and other events requires precise synchronization between neural data and event timing. To achieve this, purpose-built synchronization devices are often used to detect events. This paper introduces SyncGenie, a programmable synchronization device designed for a range of uses in neuroscience research-primarily as a "trigger box" to align neurophysiological data with physical stimulus events, among other possibilities.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
J Cardiothorac Surg
January 2025
Division of Clinical Medicine, University of Sheffield, Sheffield, UK.
Objective: Patients on direct-acting oral anticoagulants (DOACs) are at high risk of perioperative bleeding complications. Intraoperative hemoadsorption is a novel strategy to reduce perioperative bleeding in patients on DOACs undergoing non-deferable cardiac surgery. The international STAR-registry reports real-world clinical outcomes associated with this application.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!