⚡ Quick Summary
This retrospective study evaluated the effectiveness of the EW10-EG01 artificial intelligence (AI) application in screening esophagogastroduodenoscopy (EGD). The findings suggest that the AI system significantly enhances the detection rate of esophageal and gastric tumors, indicating its potential utility in clinical practice.
🔍 Key Details
- 📊 Dataset: 7,655 subjects (4,863 men, 2,792 women; mean age 54.9±10.1 years)
- ⚙️ Technology: EW10-EG01 AI application
- 🔬 Comparison: EGD with AI (3,841 subjects) vs. EGD without AI (3,814 subjects)
- 🏆 Tumor detection: 39 tumors (1.02%) with AI vs. 24 tumors (0.63%) without AI
- ⏳ Examination time: Longer for EGD with AI
🔑 Key Takeaways
- 📈 Increased detection rates of esophageal and gastric tumors were observed with AI assistance.
- 💡 Statistical significance was noted in the detection rates (P = 0.017).
- 👩⚕️ Biopsy procedures were performed more frequently during AI-assisted EGD.
- 🧑🏫 Endoscopist experience positively influenced detection rates when using the AI system.
- 🌟 Potential for improved screening practices in upper gastrointestinal examinations.
- 📅 Study published in Cureus, 2025.
📚 Background
The early detection of upper gastrointestinal tumors is crucial for improving patient outcomes. Traditional methods of screening, such as EGD, can sometimes miss early-stage tumors. The integration of artificial intelligence into medical imaging and diagnostic procedures has shown promise in enhancing detection rates and improving diagnostic accuracy. This study specifically investigates the role of the EW10-EG01 AI application in EGD screenings.
🗒️ Study
Conducted as a retrospective analysis, this study enrolled a total of 7,655 subjects who underwent EGD during routine medical checkups. The researchers aimed to compare the outcomes of EGD examinations performed with and without the AI system, focusing on the detection of upper gastrointestinal tumors.
📈 Results
The results indicated that EGD examinations utilizing the AI system diagnosed 39 tumors (1.02%), compared to 24 tumors (0.63%) diagnosed without AI assistance. This difference, while not statistically significant overall (P = 0.062), revealed a significant enhancement in the detection of esophageal and gastric tumors (P = 0.017). Additionally, the study noted that biopsy procedures were more frequently performed, and examination times were longer when the AI was employed.
🌍 Impact and Implications
The findings from this study underscore the potential of AI technologies like the EW10-EG01 application to transform screening practices in gastroenterology. By improving the detection rates of tumors, AI can play a vital role in early diagnosis and treatment, ultimately enhancing patient care and outcomes. As healthcare continues to evolve with technological advancements, the integration of AI in diagnostic procedures could lead to more effective and efficient screening protocols.
🔮 Conclusion
This study highlights the promising role of the EW10-EG01 AI system in enhancing the effectiveness of EGD screenings. With increased detection rates of esophageal and gastric tumors, the application of AI in this context could significantly improve clinical outcomes. Continued research and development in this area are essential to fully realize the benefits of AI in healthcare.
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Effectiveness of Artificial Intelligence in Screening Esophagogastroduodenoscopy.
Abstract
BACKGROUND: This retrospective study investigated the usefulness of the EW10-EG01 artificial intelligence (AI) application for screening esophagogastroduodenoscopy (EGD).
METHODOLOGY: A total of 7,655 subjects (4,863 men, 2,792 women; mean age 54.9±10.1 years) who underwent EGD during a medical checkup were enrolled in the study. The number of diagnosed upper gastrointestinal tumors was compared between EGD examinations performed with and without the AI system.
RESULTS: EGD examinations with and without the AI system were performed on 3,841 and 3,814 subjects, respectively. Biopsy procedures were more frequently performed, and examination time was longer in EGD with AI applications than in those without. Upper gastrointestinal tumors diagnosed by EGD with and without AI were 39 (1.02%) and 24 (0.63%), respectively (P = 0.062). There was a significant difference in the detection rate of esophageal and gastric tumors between EGD with (30, 0.78%) and without (14, 0.37%) the AI system (P = 0.017). When endoscopists were divided into three groups based on their experience with the EW10-EG01 application, higher detection rates of esophageal and gastric tumors were observed in each group when using EGD with AI.
CONCLUSIONS: Usage of the EW10-EG01 AI system may be useful for screening EGD due to the increased esophageal and gastric tumor detection rate.
Author: [‘Adachi K’, ‘Ebisutani Y’, ‘Matsubara Y’, ‘Okimoto E’, ‘Ishimura N’, ‘Ishihara S’]
Journal: Cureus
Citation: Adachi K, et al. Effectiveness of Artificial Intelligence in Screening Esophagogastroduodenoscopy. Effectiveness of Artificial Intelligence in Screening Esophagogastroduodenoscopy. 2025; 17:e79935. doi: 10.7759/cureus.79935