What is the clinical evidence from this study?

Study design: Review. Population: Major gastrointestinal surgeries. Intervention: Artificial intelligence.

May 26, 2021Open Access

Artificial intelligence in perioperative management of major gastrointestinal surgeries

Key Result

Artificial intelligence in the perioperative management of major gastrointestinal surgeries shows potential for accurate risk assessment and automated care, though it currently relies on human analysis.

Structured PICO

How can artificial intelligence be applied in the perioperative management of major gastrointestinal surgeries?

Population

Patients undergoing major gastrointestinal surgery

Intervention

Artificial intelligence applications in perioperative management

Artificial intelligence has the potential to revolutionize perioperative care in major gastrointestinal surgeries by improving risk assessment, intraoperative management, and outcome prediction.

Limitations

AI is only as good as the data used to generate the algorithms
Generalizability of algorithms is limited by the demographics of the training data
Lack of transparency due to multiple layers in deep neural networks
Unresolved ethical and legal implications regarding accountability and liability

Abstract

Artificial intelligence (AI) demonstrated by machines is based on reinforcement learning and revolves around the usage of algorithms. The purpose of this review was to summarize concepts, the scope, applications, and limitations in major gastrointestinal surgery. This is a narrative review of the available literature on the key capabilities of AI to help anesthesiologists, surgeons, and other physicians to understand and critically evaluate ongoing and new AI applications in perioperative management. AI uses available databases called "big data" to formulate an algorithm. Analysis of other data based on these algorithms can help in early diagnosis, accurate risk assessment, intraoperative management, automated drug delivery, predicting anesthesia and surgical complications and postoperative outcomes and can thus lead to effective perioperative management as well as to reduce the cost of treatment. Perioperative physicians, anesthesiologists, and surgeons are well-positioned to help integrate AI into modern surgical practice. We all need to partner and collaborate with data scientists to collect and analyze data across all phases of perioperative care to provide clinical scenarios and context. Careful implementation and use of AI along with real-time human interpretation will revolutionize perioperative care, and is the way forward in future perioperative management of major surgery.

AI से पूछें

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