The role of artificial intelligence (AI) in submucosal vessel detection during third-space endoscopy, such as endoscopic submucosal dissection (ESD) and peroral endoscopic myotomy (POEM), has been explored to enhance procedural safety and efficiency. These advanced endoscopic techniques involve navigating the submucosal layer, where unseen blood vessels pose a risk of accidental injury and significant bleeding.
The role of artificial intelligence (AI) in submucosal vessel detection during third-space endoscopy, such as endoscopic submucosal dissection (ESD) and peroral endoscopic myotomy (POEM), has been explored to enhance procedural safety and efficiency. These advanced endoscopic techniques involve navigating the submucosal layer, where unseen blood vessels pose a risk of accidental injury and significant bleeding.
AI has shown promise in improving the detection of submucosal vessels during these procedures. By assisting endoscopists, AI enhances vessel identification accuracy and reduces the time required for detection, thereby facilitating smoother procedural workflows. While AI may occasionally generate false positives, these are brief and unlikely to disrupt the procedure. The findings suggest that AI can serve as a valuable tool for improving safety and reducing complications in complex therapeutic endoscopy.
Although further clinical trials are necessary, this study highlights AI's potential to support endoscopists and improve outcomes in third-space endoscopic procedures.
Introduction: Artificial intelligence is rapidly transforming healthcare through drug discovery, clinical decision support, remote monitoring, and administrative automation. While AI is widely expected to reduce healthcare costs, this perspective argues that current payment models and...
Introduction: Large frontier AI models such as GPT-5 and Gemini have achieved impressive results across numerous healthcare benchmarks. However, high benchmark scores alone may not reflect real-world clinical reliability. This study systematically evaluated the robustness...
Introduction: Artificial intelligence is rapidly transforming medicine, but its influence extends far beyond healthcare. This JAMA AI Conversations article explores how AI ethics has become a global societal issue, engaging technology leaders, policymakers, healthcare professionals,...
Introduction: Artificial intelligence is rapidly transforming oncology, evolving from image interpretation and pathology analysis to supporting complex clinical decision-making. This perspective argues that AI should enhance the capabilities of oncologists rather than replace their expertise....
Introduction Clinical trial endpoints have traditionally relied on expert human interpretation, particularly for pathology-based outcomes. However, variability between observers, cost, and time remain important limitations. This NEJM AI perspective discusses how artificial intelligence is beginning...
Introduction: As artificial intelligence becomes increasingly integrated into clinical practice, an important question arises: should AI assistants be regulated as medical devices or viewed as evidence-based clinical methodologies? This NEJM AI perspective proposes a new...
We are pioneers in clinical intelligence, dedicated to helping gastroenterologists harness the power of artificial intelligence to drive precision, efficiency, and patient growth.