ABSTRACT
The choice of maintenance anesthetic during cardiopulmonary bypass has been a subject of ongoing debate. Systematic reviews on the topic have so far failed to demonstrate a difference between volatile agents and total intravenous anesthesia (TIVA) in terms of mortality, myocardial injury, and neurological outcomes. Studies using animal models and noncardiac surgical populations suggest numerous mechanisms whereby TIVA has been associated with more favorable outcomes. However, even if the different anesthetic methods are assumed to equivalent in terms of patient outcomes in the context of cardiac surgery, additional factors, namely variables of occupational exposure and environmental impact, strongly support the preferred use of TIVA.
ABSTRACT
The role of point-of-care ultrasonography in the perioperative setting has expanded rapidly over recent years. Revolutionizing this technology further is integrating artificial intelligence to assist clinicians in optimizing images, identifying anomalies, performing automated measurements and calculations, and facilitating diagnoses. Artificial intelligence can increase point-of-care ultrasonography efficiency and accuracy, making it an even more valuable point-of-care tool. Given this topic's importance and ever-changing landscape, this review discusses the latest trends to serve as an introduction and update in this area.
Subject(s)
Artificial Intelligence , Point-of-Care Systems , Humans , Ultrasonography/methods , Perioperative Care , TechnologyABSTRACT
This article reports a case study of a middle-aged patient diagnosed with Ketosis-Prone Diabetes (KPD) and diabetic ketoacidosis who had a mobile thrombus in the distal aortic arch with catastrophic complications from thrombus embolization. The pathogenesis of the mobile aortic thrombus is currently under investigation, with many risk factors having been found. Based on the patient's limited manifestation of atherosclerosis and the absence of any indications of thrombophilia, KPD and inflammation from uncontrolled hyperglycemia likely played a significant role in the formation of the thrombus. KPD is a subtype of diabetes characterized by the abrupt onset of severe hyperglycemia and ketoacidosis. The inflammation caused by uncontrolled hyperglycemia in KPD patients can lead to endothelial dysfunction and the activation of prothrombotic pathways. There is a lack of consensus regarding the optimal approach for managing a mobile aortic thrombus. The main strategies under consideration are conservative care, including anticoagulation alone, invasive removal of the thrombus, or endovascular intervention.
ABSTRACT
Artificial intelligence (AI) language generation models, such as ChatGPT, have the potential to revolutionize the field of medical writing and other natural language processing (NLP) tasks. It is crucial to consider the ethical concerns that come with their use. These include bias, misinformation, privacy, lack of transparency, job displacement, stifling creativity, plagiarism, authorship, and dependence. Therefore, it is essential to develop strategies to understand and address these concerns. Important techniques include common bias and misinformation detection, ensuring privacy, providing transparency, and being mindful of the impact on employment. The AI-generated text must be critically reviewed by medical experts to validate the output generated by these models before being used in any clinical or medical context. By considering these ethical concerns and taking appropriate measures, we can ensure that the benefits of these powerful tools are maximized while minimizing any potential harm. This article focuses on the implications of AI assistants in medical writing and hopes to provide insight into the perceived rapid rate of technological progression from a historical and ethical perspective.
