AI-Assisted Capsule Endoscopy: Major Benefits

The sudden surge in medical advancement over the years brought significant development in the diagnosis of various conditions, especially gastrointestinal issues. One such important innovation that has greatly improved the results of the diagnostic procedure is the use of artificial intelligence (AI). It has emerged as the requirement for improved machine performance. The persistent use of AI in the healthcare department allows specialists to diagnose and treat diseases accurately.
Among all the versatile applications of AI, its use in the medical field, with the help of AI-assisted capsule endoscopy, has made the detection of abnormalities in the colon pretty easy. In fact, the procedure is now one of the most preferred methods for both patients and doctors since it is entirely non-invasive and is a great alternative to traditional endoscopy methods.

The addition of an AI model in capsule endoscopy has allowed physicians to identify and analyse images, including small lesions in the small intestine, which might not have been possible otherwise.

So basically, we can say that AI has entirely changed the capsule endoscopy procedure, offering a never-ending array of benefits for both the patients and the healthcare specialists.

All About Capsule Endoscopy

Capsule endoscopy is a highly preferred diagnostic procedure by doctors that records the images of your gastrointestinal tract. It allows your doctor to understand the symptoms and signs of problems going on inside the digestive tract and helps them diagnose a variety of conditions. The method involves swallowing a vitamin-sized capsule with a camera inside.

Detecting critical issues in the small intestine with capsule endoscopy is always the preferred option, as the pill can reach the areas in the small intestine that would not have been possible with traditional endoscopies. This helps doctors develop the required treatment plan based on accurate test reports.

Despite successfully predicting the results accurately, capsule endoscopy is a time-consuming process involving longer reading time and a higher level of concentration to avoid missing pathology. However, the use of AI has enhanced the efficacy and accuracy of the process. Let’s understand how.

Application Of AI In Capsule Endoscopy

• Improved accurately: AI image generators are trained on a large number of medical images, allowing them to recognise any small issues that might miss the human eye. AI-assisted capsule endoscopy allows surgeons to find out the presence of tumours, polyps, or the source of bleeding, which might be too hard to identify if the disease is in the final stage.
• Faster diagnosis: The conventional way of diagnosis by gastroenterologists was time-consuming as it involved manual viewing of the images. However, with the integration of AI, the system can automatically analyse the image, thereby reducing the time for data interpretation and allowing doctors to prepare the treatment plan.
• Consistency: Human viewing of images usually varies depending on the experience and expertise of the gastroenterologist. On the other hand, AI can be trained to interpret the recordings of the digestive tract, thereby providing consistency and offering reliable results in the diagnosis of small intestinal abnormalities.
• Cost-effective: Though the price of AI-assisted capsule endoscopy procedures might be a little higher, however, it is cost-effective in the long run. As the test reports are almost accurate, patients are not required to undergo additional procedures to get confirmation about the disease. As a result, your doctor can proceed with the treatment options without any delay.
  

Conclusion

AI is a complementary tool in capsule endoscopy that can make diagnostic procedures more accurate. However, they cannot replace certified gastroenterologists who have received advanced training to interpret the image results. Hence, always make sure to consult an experienced gastroenterologist to get the right treatment for your condition.