Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study

Wang, Zhang; Liu, Lu; Lu, Qiyi; Mu, Lei; Qin, Jianbing

doi:10.3748/wjg.v29.i19.2979

World J Gastroenterol

2023

DOI: 10.3748/wjg.v29.i19.2979

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Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study

Zhang Wang¹,

Lu Liu²,

Qiyi Lu³

et al.

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Cited by 2 publications

References 42 publications

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Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection

Su,

Li,

Chen

et al. 2023

European Journal of Surgical Oncology

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Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection

Su,

Li,

Chen

et al. 2023

European Journal of Surgical Oncology

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Artificial intelligence in rectal cancer: What is the future?

Yadav,

Kumar

2023

Artif Intell Cancer

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Colorectal cancer (CRC) is the third most prevalent cancer in both men and women, and it is the second leading cause of cancer-related deaths globally. Around 60%-70% of CRC patients are diagnosed at advanced stages, with nearly 20% having liver metastases. It is noteworthy that the 5-year survival rates decline significantly from 80%-90% for localized disease to a mere 10%-15% for patients with metastasis at the time of diagnosis. Early diagnosis, appropriate therapeutic strategy, accurate assessment of treatment response, and prognostication is essential for better outcome. There has been significant technological development in the last couple of decades to improve the outcome of rectal cancer including Artificial intelligence (AI). AI is a broad term used to describe the study of machines that mimic human intelligence, such as perceiving the environment, drawing logical conclusions from observations, and performing complex tasks. At present AI has demonstrated a promising role in early diagnosis, prognosis, and treatment outcomes for patients with rectal cancer, a limited role in surgical decision making, and had a bright future.

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Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study

Cited by 2 publications

References 42 publications

Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection

Automated machine learning-based model for predicting benign anastomotic strictures in patients with rectal cancer who have received anterior resection

Artificial intelligence in rectal cancer: What is the future?

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