Artificial intelligence in perioperative pain management: A review
Journal Title: Perioperative Precision Medicine - Year 2024, Vol 2, Issue 3
Abstract
Artificial intelligence (AI) leverages its swift, precise, and fatigue-resistant problem-solving abilities to significantly influence anesthetic practices, ranging from monitoring the depth of anesthesia to controlling its delivery and predicting events. Within the domain of anesthesia, pain management plays a pivotal role. This review examines the promises and challenges of integrating AI into perioperative pain management, offering an in-depth analysis of their converging interfaces. Given the breadth of research in perioperative pain management, the review centers on the quality of training datasets, the integrity of experimental outcomes, and the diversity of algorithmic approaches. We conducted a thorough examination of studies from electronic databases, grouping them into three core themes: pain assessment, therapeutic interventions, and the forecasting of pain management-related adverse effects. Subsequently, we addressed the limitations of AI application, such as the need for enhanced predictive accuracy, privacy concerns, and the development of a robust database. Building upon these considerations, we propose avenues for future research that harness the potential of AI to effectively contribute to perioperative pain management, aiming to refine the clinical utility of this technology.
Authors and Affiliations
Yan Liao, Zhanheng Chen,Wangzheqi Zhang, Lindong Cheng, Yanchen Lin, Ping Li, Miao Zhou, Mi Li, ChunHua Liao
Keywords
Related Articles
- EP ID EP750289
- DOI 10.61189/275419wdddvs
- Views 40
- Downloads 0
The interaction of Candida albicans with C-type lectin receptors
Candida albicans (C. albicans) is a ubiquitous commensal in the mammalian flora and the most prevalent fungal pathogen of humans. As an opportunistic fungus, C. albicans can cause mucosal and invasive infections. Invasiv...
Perioperative care in hypoadrenalism: A narrative review
Impaired production of adrenal hormones or hypoadrenalism is not uncommon and has various aetiologies. Untreated hypoadrenalism during operative period can lead to preventable major adverse events. Identification and ris...
Artificial intelligence in perioperative pain management: A review
Artificial intelligence (AI) leverages its swift, precise, and fatigue-resistant problem-solving abilities to significantly influence anesthetic practices, ranging from monitoring the depth of anesthesia to controlling i...
MicroRNAs: Regulators of the host antifungal immune response
Fungi pose a severe threat to human health worldwide, especially to patients with weakened immune systems. Perioperative patients are at a high risk of fungal infection and death because of the immunosuppression caused b...
The effectiveness of a novel modified retracting arm for transaxillary endoscopic thyroid surgery to minimize complications: A randomized controlled study
Objective: To evaluate the safety of a novel modified retracting arm for endoscopic thyroidectomy by gasless unilateral axillary approach (ETGUA) and its effectiveness in minimizing complications. Methods: A novel retrac...