Continuous advancements in AI-based diagnostic tools, including computer-aided diagnosis (CAD) systems and deep learning models, show a clear trend toward integrating AI into clinical practice.
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Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.
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The most frequently occurring keywords were “diagnosis,” “classification,” and “cancer.” The cluster analysis identified key research areas, with newer clusters emerging around “adenoma detection,” “polyp segmentation,” and “wireless capsule endoscopy.” These clusters have shown an increasing trend over the past few years, reflecting the growing focus on using AI to optimize diagnostic procedures in real-time.