Artificial intelligence and its clinical application in Anesthesiology: a systematic review

• Type: Another Publication in an International Scientific Journal
• Date: 2023

Authors

Lopes, S (Author) Other; Rocha, G (Author) Other; Guimaraes-Pereira, L (Author) FMUP

Journal

Title: Journal of Clinical Monitoring and Computing

Vol. 38

Pages: 247-259

ISSN: 1387-1307

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00Z-7X9

DOI: 10.1007/s10877-023-01088-0

Abstract (EN): PurposeApplication of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and promising results, a thorough overview of the current state of AI in clinical practice of anesthesiology is needed. Therefore, our study aims to systematically review the application of AI in this context.MethodsA systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched Medline and Web of Science for articles published up to November 2022 using terms related with AI and clinical practice of anesthesiology. Articles that involved animals, editorials, reviews and sample size lower than 10 patients were excluded. Characteristics and accuracy measures from each study were extracted.ResultsA total of 46 articles were included in this review. We have grouped them into 4 categories with regard to their clinical applicability: (1) Depth of Anesthesia Monitoring; (2) Image-guided techniques related to Anesthesia; (3) Prediction of events/risks related to Anesthesia; (4) Drug administration control. Each group was analyzed, and the main findings were summarized. Across all fields, the majority of AI methods tested showed superior performance results compared to traditional methods.ConclusionAI systems are being integrated into anesthesiology clinical practice, enhancing medical professionals' skills of decision-making, diagnostic accuracy, and therapeutic response.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13