Artificial intelligence for the management of pancreatic diseases

Abstract

Novel artificial intelligence techniques are emerging in all fields of healthcare, including gastroenterology. The aim of this review is to give an overview of artificial intelligence applications in the management of pancreatic diseases. We performed a systematic literature search in PubMed and Medline up to May 2020 to identify relevant articles. Our results showed that the development of machine-learning based applications is rapidly evolving in the management of pancreatic diseases, guiding precision medicine in clinical, endoscopic and radiologic settings. Before implementation into clinical practice, further research should focus on the external validation of novel techniques, clarifying the accuracy and robustness of these models.

Predicting severity of acute pancreatitis: Emerging role of artificial intelligence

“…The key types of AI include machine learning, deep learning, computer vision and natural language processing. A number of studies have been published on the use of AI in pancreatic disorders including acute pancreatitis, pancreatic cancer, pancreatic cystic lesions, etc., and the results have been generally encouraging 4 …”

“…Therefore, early prediction of severity is important for optimal management. A number of severity assessment tools are available and more recently artificial intelligence (AI) based tools have also been proposed 3,4 . AI is a rapidly evolving field with potentially wide applications in health care.…”

“…A number of studies have been published on the use of AI in pancreatic disorders including acute pancreatitis, pancreatic cancer, pancreatic cystic lesions, etc., and the results have been generally encouraging. 4 The significantly higher mortality in severe acute pancreatitis warrants careful management of these patients with close monitoring in an intensive care setting. Hence, early identification of severe disease is critical for better management of patients and optimum utilisation of resources.…”

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

“…In looking forward to the future, researchers may successively report some multicenter, prospective, large sample size, and high RQS studies. In addition to these, predicting AP clinical outcomes of organ failure, infection, death, hospitalization, admission to intensive care unit (ICU) and invasive intervention; quantifying pancreatic exocrine or (and) endocrine insufficiency; predicting the possibility of AP progress to CP or CP progress to PC; and effectively combining deep learning or some other technologies with radiomics may become the potential directions (81)(82)(83)(84)(85)(86)(87).…”

Artificial intelligence in gastroenterology: A state-of-the-art review

“…Of primary interest is the use of AI in improving existing disease severity scoring systems or prognostic models in complicated acute pancreatitis (AP) or chronic pancreatitis (CP), based on clinical and radiological data, detection and differentiation of pancreas cystic neoplasms (PCN) with prediction of malignant potential, radiologic early detection of pancreatic ductal adenocarcinoma (PDAC), radiologic differentiation between PDAC and benign pancreatic conditions [ e.g. , autoimmune pancreatitis (AIP)], and histopathologic interpretation of tissue samples[ 279 - 282 ]. A total of 59 studies pertaining to the pancreas were reviewed.…”