Key result
Artificial intelligence has the potential to develop advanced clinical decision support tools in anesthetics, particularly for ASA score classification, drug dosage monitoring, and perioperative data collection.
Why the study?
AI has disruptive potential to transform medicine, but anesthetics is complex and the expectation that AI can easily replace practitioners is unrealistic, warranting a review of AI advances and opportunities in this field.
This review highlights the potential and limitations of artificial intelligence and machine learning as clinical decision support tools in anesthetics and pain management.
The potential of the second wave of Artificial Intelligence (AI) to change our lives beyond recognition is both exciting and challenging. AI has been around for over three decades, and this new approach of artificial intelligence, due to enhancements in technology, both software, and hardware, has resulted in the fact that human decision-making is considered inferior and erratic in many fields: none more so than medicine. Machine learning algorithms with access to large data sets can be trained to outperform clinicians in many respects. AI’s effectiveness in accurate diagnosis of various medical conditions and medical image interpretation is well documented. Modern AI technology has the potential to transform medicine to a level never seen before in terms of efficiency and accuracy; but is also potentially highly disruptive, creating insecurity and allowing the transfer of expert domain knowledge to machines. Anesthetics is a complex medical discipline and assuming AI can easily replace experienced and knowledgeable medical practitioners is a very unrealistic expectation. AI can be used in anesthetics to develop, in some respects, more advanced clinical decision support tools based on machine learning. This paper focuses on the complexity of both AI developments, deep learning, neural networks, etc. and opportunities of AI in anesthetics for the future. It will review current advances in AI tools and hardware technologies as well as outlining how these can be used in the field of anesthetics.
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McGrath et al. (2019) conducted a review in Anesthesia and Pain Management. Artificial Intelligence was evaluated. Artificial intelligence has the potential to develop advanced clinical decision support tools in anesthetics, particularly for ASA score classification, drug dosage monitoring, and perioperative data collection.
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