Third Eye? The Assistance of Artificial Intelligence (AI) in the Endoscopy of Gastrointestinal Neoplasms.
Magdalena LeśniewskaRafał PatrynAgnieszka KopysteckaIlona KoziołJulia BudzyńskaPublished in: Journal of clinical medicine (2023)
Gastrointestinal cancers are characterized by high incidence and mortality. However, there are well-established methods of screening. The endoscopy exam provides the macroscopical image and enables harvesting the tissue samples for further histopathological diagnosis. The efficiency of endoscopies relies not only on proper patient preparation, but also on the skills of the personnel conducting the exam. In recent years, a number of reports concerning the application of artificial intelligence (AI) in medicine have arisen. Numerous studies aimed to assess the utility of deep learning/ neural network systems supporting endoscopies. In this review, we summarized the most recent reports and randomized clinical trials regarding the application of AI in screening and surveillance of gastrointestinal cancers among patients suffering from esophageal, gastric, and colorectal cancer, along with the advantages, limitations, and controversies of those novel solutions.
Keyphrases
- artificial intelligence
- deep learning
- neural network
- big data
- machine learning
- convolutional neural network
- risk factors
- public health
- adverse drug
- small bowel
- cardiovascular events
- case report
- type diabetes
- emergency department
- mass spectrometry
- young adults
- molecularly imprinted
- quantum dots
- medical students
- solid phase extraction
- simultaneous determination