Acute pancreatic inflammation computed tomography and magnetic resonance imaging in era of artificial intelligence: Current and future directions

The advent of radiomics, and artificial intelligence has created a multitude of possibilities for clinical application in medical imaging fields.With the respect to the pancreas in particular, computer vision can enable automated segmentation and quantification of glandular tissue or necrotic tissue, and detection and evaluation of related pathologies in acute pancreatic inflammation/acute pancreatitis.Computed tomography (CT) and magnetic resonance imaging (MRI) structural radiology reports using text-based analysis and natural language processing can aid in adoption of quality-assurance clinical report frameworks and accelerating artificial intelligence related researches.Foreseeably, such artificial intelligence algorithms based on CT/MRI data stand a prime chance for deployment and workflow integration, but should nonetheless demonstrate criteria of medical explainability and generalisability, so as to obtain physicians' wide acceptance into mainstream clinical practice for acute pancreatitis patients.Therefore, this review predominantly introduces state-of-the-art content of CT and MRI on acute pancreatic inflammation imaging in the era of artificial intelligence.