Title:Recent Applications of Artificial Intelligence in the Detection of
Gastrointestinal, Hepatic and Pancreatic Diseases
Volume: 29
Issue: 1
关键词:
人工智能，深度学习，机器学习，胃肠病学，肝病，胰腺癌。
摘要: There has been substantial progress in artificial intelligence (AI) algorithms
and their medical sciences applications in the last two decades. AI-assisted programs
have already been established for remote health monitoring using sensors and smartphones.
A variety of AI-based prediction models are available for gastrointestinal, inflammatory,
non-malignant diseases, and bowel bleeding using wireless capsule endoscopy,
hepatitis-associated fibrosis using electronic medical records, and pancreatic carcinoma
utilizing endoscopic ultrasounds. AI-based models may be of immense help for healthcare
professionals in the identification, analysis, and decision support using endoscopic
images to establish prognosis and risk assessment of patients’ treatment employing multiple
factors. Enough randomized clinical trials are warranted to establish the efficacy of
AI-algorithms assisted and non-AI-based treatments before approval of such techniques
from medical regulatory authorities. In this article, available AI approaches and AI-based
prediction models for detecting gastrointestinal, hepatic, and pancreatic diseases are reviewed.
The limitations of AI techniques in such diseases’ prognosis, risk assessment,
and decision support are discussed.
