Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice

Figure 1 Artificial intelligence diagnostic workflow in gastrointestinal diseases. This workflow illustrates how artificial intelligence can transform gastrointestinal diagnostics by serving as a complementary tool to augment clinical judgment and improve early disease detection. It begins with data collection where medical images, patient histories, omics data and test results are inputted into artificial intelligence (AI) systems. AI then analyzes the data, identifying patterns and potential issues. The results are not final but are reviewed by healthcare professionals, ensuring human expertise validates the AI's findings. This collaborative approach improves diagnostic accuracy while maintaining the personalized care patients need. Ethical considerations, including patient privacy, data security, algorithmic bias, and the transparency of AI decision-making, are integrated into every step of the process. By respecting these principles, AI strengthens the healthcare system, enabling earlier diagnoses without compromising trust or safety. AI: Artificial intelligence.