Wireless capsule endoscopy is another new tool in the armamentarium of the gastroenterologist to evaluate the small bowel non-invasively. It allows improved diagnostic yield with low complication rates relative to traditional modalities.
Gastrointestinal (GI) tract diseases are responsible for substantial morbidity and mortality worldwide, including colorectal cancer, which has shown a rising incidence among adults younger than 50. Although this could be alleviated by regular screening, only a small percentage of those at risk are screened comprehensively, due to shortcomings in accuracy and patient acceptance.
To address these challenges, we designed an artificial intelligence (AI)-empowered wireless video endoscopic capsule that surpasses the performance of the existing solutions by featuring, among others:
➡️️ real-time image processing using onboard deep neural networks (DNN), (2) , (3) and (4) .
➡️ enhanced visualisation of the mucous layer by deploying both white-light and narrow-band imaging
➡️️ on-the-go task modification and DNN update using over-the-air-programming
➡️️ bi-directional communication with patient’s personal electronic devices to report important findings
In the following study the groundwork for clinically implementing a new generation of endoscopic capsules is described, which will significantly improve early diagnosis of upper and lower GI tract diseases.
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