Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Can fuzzy logic make things more clear? | Available online http content 13 1 116 Commentary Can fuzzy logic make things more clear Jan A Hazelzet Pediatric ICU Erasmus MC Sophia 3000CB Rotterdam The Netherlands Corresponding author Jan A Hazelzet Published 18 February 2009 This article is online at http content 13 1 116 2009 BioMed Central Ltd Critical Care 2009 13 116 doi cc7692 See related research by Merouani et al. http content 12 6 R155 Abstract Intensive care is a complex environment involving many signals data and observations. Clinical decision support and artificial intelligence using fuzzy logic and closed loop techniques are methods that might help us to handle this complexity in a safe effective and efficient way. Merouani and colleagues have performed a study using fuzzy logic and closed loop techniques to more effectively wean patients with sepsis from norepinephrine infusion. In the intensive care environment clinicians are trying surrounded by a wealth of information and using guidelines as well as their personal expertise to treat patients in the best possible way. We know that these treatments are complex and not always consistent among clinicians. They might also be influenced by a number of other conditions such as workload and human conditions such as fatigue or personal feelings and intuition. Examples of these treatments are mechanical ventilation or multidrug hemodynamic support in septic shock. Not only is the commencement of these treatments important but also the weaning process in order to limit possible side effects resulting from them. Weaning from vasopressors is often approached empirically and performed manually. Bedside equipment such as pressure transducers infusion pumps pulse oximeters and mechanical ventilators store their data in clinical information systems. Artificial intelligence tools can function as intelligent assistants to clinicians constantly monitoring data for trends or adjusting the .
