Machine learning in gastrointestinal surgery

Machine learning (ML) is a collection of algorithms allowing computers to learn directly from data without predetermined equations. It is used widely to analyze “big data”. In gastrointestinal surgery, surgeons deal with various data such as clinical parameters, surgical videos, and pathological ima...

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Vydáno v:Surgery today (Tokyo, Japan) Ročník 52; číslo 7; s. 995 - 1007
Hlavní autoři: Sakamoto, Takashi, Goto, Tadahiro, Fujiogi, Michimasa, Kawarai Lefor, Alan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.07.2022
Témata:
Medicine
Medicine & Public Health
Review Article
Surgery
Surgical Oncology
Deep learning
Gastrointestinal surgery
Artificial intelligence
Computer-assisted surgery
Machine learning
ISSN:0941-1291, 1436-2813, 1436-2813
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Shrnutí:Machine learning (ML) is a collection of algorithms allowing computers to learn directly from data without predetermined equations. It is used widely to analyze “big data”. In gastrointestinal surgery, surgeons deal with various data such as clinical parameters, surgical videos, and pathological images, to stratify surgical risk, perform safe surgery and predict patient prognosis. In the current “big data” era, the accelerating accumulation of a large amount of data drives studies using ML algorithms. Three subfields of ML are supervised learning, unsupervised learning, and reinforcement learning. In this review, we summarize applications of ML to surgical practice in the preoperative, intraoperative, and postoperative phases of care. Prediction and stratification using ML is promising; however, the current overarching concern is the availability of ML models. Information systems that can manage “big data” and integrate ML models into electronic health records are essential to incorporate ML into daily practice. ML is fundamental technology to meaningfully process data that exceeds the capacity of the human mind to comprehend. The accelerating accumulation of a large amount of data is changing the nature of surgical practice fundamentally. Artificial intelligence (AI), represented by ML, is being incorporated into daily surgical practice.
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ISSN:0941-1291
1436-2813
1436-2813
DOI:10.1007/s00595-021-02380-9