Application Status and Prospects of Artificial Intelligence in Peptic Ulcers

Abstract

Peptic ulcer (PU) is a common and frequently occurring disease. Although PU seriously threatens the lives and health of global residents, the applications of artificial intelligence (AI) have strongly promoted diversification and modernization in the diagnosis and treatment of PU. This minireview elaborates on the research progress of AI in the field of PU, from PU’s pathogenic factor Helicobacter pylori (Hp) infection, diagnosis and differential diagnosis, to its management and complications (bleeding, obstruction, perforation and canceration). Finally, the challenges and prospects of AI application in PU are prospected and expounded. With the in-depth understanding of modern medical technology, AI remains a promising option in the management of PU patients and plays a more indispensable role. How to realize the robustness, versatility and diversity of multifunctional AI systems in PU and conduct multicenter prospective clinical research as soon as possible are the top priorities in the future.

Laparoscopic and endoscopic cooperative surgery for early gastric cancer: Perspective for actual practice

“…With people’s increasing attention to healthy diet and the popularization of Helicobacter pylori (Hp) eradicating treatment, the incidence and mortality of gastric cancer in European and American countries have been significantly reduced in recent years, ranking after the tenth among all tumors ( 1 ). However, gastric cancer is still a heavy burden in East Asian countries such as China, Japan and South Korea ( 2 ). Noteworthily, early gastric cancer (EGC) has a desirable prognosis compared with advanced gastric cancer (AGC).…”

Fabrication of floating tablets using bark extract of azadirachta indica for the treatment of peptic ulcer

“…It is most common in the mucosa of the gastrointestinal tract, particularly the stomach and duodenum, which secrete gastric acid. As many as 5 percent to 10 percent of people in the general population have a lifetime prevalence of PU of 0.1 percent to 0.3 percent (Zhao et al, 2022). As a result, early detection and prevention of PU are critical to reducing the health care costs of the global population.…”

Grand challenges in visceral surgery

“…Artificial intelligence, however, is here to stay, and it is crucial that the future development of AI in surgery is directed by the needs of surgeons and patient groups. Studies have shown that machine learning may improve clinical decision-making in complex cases with multiple comorbidities ( 7 , 8 ). In any domain where pattern recognition is required, machine learning algorithms may help provide more accurate predictions of treatment outcome.…”