Artificial Intelligence in Pre-operative Assessment of Patients in Colorectal Surgery

The pre-operative assessment of patients in colorectal surgery has become an important focus in the last decade to optimize the patients and reduce the post-operative morbidity and mortality. Various scoring systems have been developed in the past but are usually limited by its use in real world cli...

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Bibliographic Details
Published in:Turkish journal of colorectal disease 2021-06, Vol.32 (2), p.99-104
Main Authors: Ng, Zi Qin, Jung, Jong Kyung, Theophilus, Mary
Format: Article
Language:English
Subjects:
Artificial intelligence
Big Data
Biochemistry
Clinical medicine
Colorectal surgery
Disease
Electronic health records
Hospitals
Machine learning
Mortality
Neural networks
Patient assessment
Tomography
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Summary:The pre-operative assessment of patients in colorectal surgery has become an important focus in the last decade to optimize the patients and reduce the post-operative morbidity and mortality. Various scoring systems have been developed in the past but are usually limited by its use in real world clinical setting. Artificial intelligence (AI) in medicine is increasingly evaluated for its use for diagnostic and prognostic value. This is coincided with the development of big data where electronic health records are increasingly used in hospitals. AI has the potential to assist in the pre-operative risk assessment of patient from all aspects by composing the readily available data comprising of basic demographics, biochemistry, and radiology results. In this review, we discuss about the potential use of AI in pre-operative assessment of patients in colorectal surgery, the current issues and limitations and future development.
ISSN:2536-4898
2536-4901
DOI:10.4274/tjcd.galenos.2021.2021-2-6