… in the development process are still necessary for the implementation of AI in the real-life …
AI developments in gastrointestinal pathology and the challenges in their implementation. …

… Artificial intelligence (AI) can extract complex information from visual data. Histopathology
images of gastrointestinal (GI) … the implementation of artificial intelligence-based pathology are …

… AI in diagnosis of GI cancers. We will also explore how the development and implementation
of AI in DP may improve existing practice in screening and diagnosis of GI malignancies. …

… level visualization of intestinal pathology (20,21). … GI functional assessment tools that are
becoming available for clinical use (7,62). This is where the science of AI can be implemented …

… pathology allows information to be shared and expert opinions can be requested, which, in
the case of GI pathology, … Understandably, when implementing digital pathology, pathologists …

… for the quantitative measurement of the existence and degree of pathology throughout the
small intestine[63]. Intestinal hookworms are difficult to find with direct visualization because …

… available through their implementation in computer-aided … Today, most pathology labs still
rely on fully analogic workflows… Some studies regarding ML applications in pathology are …

… Dedicated algorithms have also been implemented to analyze enhanced … study of GI tract.
This review focused on AI and diagnostic aspects (endoscopy, radiology, and pathology) of GI …

… pertaining to the entire gastrointestinal tract, discussing … endoscopic still images of the
gastrointestinal tract for training, … have been progressively implemented in clinical practice, the …

… The large market demand for pathologists and diagnostic efficiency have also led to new …
molecular and pathological features of LC lead to great challenges in the implementation of AI, …