Artificial Intelligence-Supported Systems in Anesthesiology and Its Standpoint to Date—A Review

Abstract

Artificial intelligence (AI) is the technique that enables computers to solve problems and perform tasks that traditionally require human intelligence. The availability of large amounts of medical data from electronic medical records and powerful modern microcomputers enables the development of AI in medicine. AI has proven its applicability in many different medical areas, such as drug discovery, diagnostic radiology and pathology, as well as interventional applications in cardiology and surgery. However, until today, AI is scarcely used in the clinical practice of anesthesiology. Although there has been a significant body of research published on AI applications for anesthesiology in the literature, the number of developed robot systems for commercial use or those ready for clinical trials remains limited. The limitations of AI systems are identified and discussed, which include incorrect medical data formatting, individual patient variability, the lack of ability of current AI systems, anesthesiologist inexperience in AI usage, system unreliability, unexplainable AI conclusions and strict regulations. In order to ensure anesthesiologists' trust in AI systems and improve their implementation in daily practice, strict quality control of the systems and algorithms should be undertaken. Further, anesthesiology personnel should play an integral role in the development of AI systems before we are able to see more AI integration in clinical anesthesiology.

Integrative Artificial Intelligence in Regional Anesthesia: Enhancing Precision, Efficiency, Outcomes and Limitations

“…McKendrick, Yang, and McLeod highlight the integration of AI and robotics, suggesting a pivotal role in advancing anesthesia practices [3]. These collective insights from recent literature underscore the transformative impact of AI in the field, advocating a proactive approach from healthcare professionals to assimilate these advancements into practice for improved patient care and educational training within the field of anesthesiology.…”

“…As Singhal et al elucidated, AI's predictive analytics and machine learning capabilities are revolutionizing preoperative planning and personalized care strategies for regional anesthesia [2]. Pham FM and colleagues highlighted AI's transformative role of AI in intraoperative monitoring, where real-time data interpretation is pivotal for proactive patient management [3]. Garg and Kapoor underscored the utility of AI in postoperative recovery, providing a framework for risk stratification and predictive modelling that promises to refine post-anesthesia care [4].…”

Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia

“…Anesthesia training programs are likely to undergo adaptation to incorporate comprehensive AI education, ensuring that future anesthesiologists are equipped with the skills to effectively leverage AI tools in their practice. AI-powered simulation technologies could play a pivotal role in this transformation by providing realistic training scenarios, allowing practitioners to refine their skills in managing AI-driven systems in a controlled environment [ 30 ]. Continuous education efforts will be imperative to keep healthcare professionals abreast of the latest advancements in AI, ethical considerations, and best practices in utilizing AI for anesthesia.…”

Artificial Intelligence-Supported Ultrasonography in Anesthesiology: Evaluation of a Patient in the Operating Theatre

“…In particular, the use of AI in anesthesiology has been frequently discussed in both the literature and media throughout the recent two or three years. Consequently, the innovative technologies have resulted in the progressive development of medical devices dedicated to anesthesiologists [ 5 ]. Specifically, regional anesthesia offers a great potential for artificial intelligence to expand.…”