Multimodal artificial intelligence in capsule endoscopy: Integrating video and sensor data for advanced gastrointestinal diagnostics

Figure 3 Strengths, weaknesses, opportunities, and threats analysis of multimodal artificial intelligence systems for capsule endoscopy. This figure illustrates the strengths, weaknesses, opportunities, and threats associated with integrating multimodal artificial intelligence into capsule endoscopy. Key advantages include enhanced lesion localization, diagnostic accuracy, and workflow efficiency. Challenges span computational demands and limited clinical validation. The approach offers opportunities for advanced lesion mapping and integration of diverse sensor data, while regulatory, interoperability, and data security concerns represent potential barriers. GI: Gastrointestinal; CE: Capsule endoscopy; IBD: Inflammatory bowel disease.