Current Status and Future Perspective of Artificial Intelligence in the Management of Peptic Ulcer Bleeding: A Review of Recent Literature.
Hsu-Heng YenPing-Yu WuMei-Fen ChenWen-Chen LinCheng-Lun TsaiKang-Ping LinPublished in: Journal of clinical medicine (2021)
With the decreasing incidence of peptic ulcer bleeding (PUB) over the past two decades, the clinician experience of managing patients with PUB has also declined, especially for young endoscopists. A patient with PUB management requires collaborative care involving the emergency department, gastroenterologist, radiologist, and surgeon, from initial assessment to hospital discharge. The application of artificial intelligence (AI) methods has remarkably improved people's lives. In particular, AI systems have shown great potential in many areas of gastroenterology to increase human performance. Colonoscopy polyp detection or diagnosis by an AI system was recently introduced for commercial use to improve endoscopist performance. Although PUB is a longstanding health problem, these newly introduced AI technologies may soon impact endoscopists' clinical practice by improving the quality of care for these patients. To update the current status of AI application in PUB, we reviewed recent relevant literature and provided future perspectives that are required to integrate such AI tools into real-world practice.
Keyphrases
- human health
- artificial intelligence
- machine learning
- big data
- climate change
- deep learning
- quality improvement
- healthcare
- emergency department
- systematic review
- clinical practice
- palliative care
- end stage renal disease
- current status
- endothelial cells
- primary care
- atrial fibrillation
- chronic kidney disease
- ejection fraction
- public health
- mental health
- pain management
- risk factors
- case report
- affordable care act
- peritoneal dialysis
- health insurance
- adverse drug
- quantum dots
- clinical evaluation