Get in Touch
Our excellent customer support team is ready to help.
In the field of gastroenterology, the accurate and timely diagnosis of gastrointestinal (GI) conditions is paramount. However, current medical imaging techniques often fall short in providing the necessary detail and precision required for effective diagnosis and treatment planning. Traditional 2D imaging modalities, such as CT, MRI, FGS and ultrasound, can produce images that are challenging to interpret due to overlapping structures, motion artifacts, and limited perspectives.
These limitations lead to several critical issues:
1. Diagnostic Ambiguity
- Lack of clarity and detail in 2D images can result in misinterpretation or missed diagnoses, particularly for complex conditions such as small tumors, polyps, and inflammatory diseases.
2. Inefficient Workflow
- Radiologists and gastroenterologists spend significant time manually segmenting and analyzing images, which delays diagnosis and treatment, affecting patient outcomes.
3. Suboptimal Treatment Planning
- Without clear, detailed visualizations, planning surgical or therapeutic interventions becomes more challenging, increasing the risk of complications and reducing the effectiveness of treatments.
4. Patient Communication
- Explaining conditions and treatment plans to patients using traditional 2D images is often difficult, leading to lower patient understanding and engagement in their own care plans.
Solution
Our AccuGI Imaging Segmentation Solution is designed to transform gastrointestinal (GI) medical imaging and interpretation. The platform is part of a broader effort to address common challenges in medical imaging, such as motion artifacts, slow imaging sequences, and the need for more precise 3D reconstructions. To tackle these issues, we are continually advancing techniques, including motion correction algorithms, faster acquisition sequences, and enhanced 3D imaging modalities.
Now, let’s explore how this technology can be applied to real-world surgical settings. For instance, consider fluorescence-guided surgery (FGS), a technique that uses fluorescein dye to improve tumor visualization during procedures. In the case of liver surgery, the dye is injected into the bloodstream, where it accumulates in tumors due to differences in blood flow and vascular properties between cancerous and healthy tissue. This allows tumors to "light up" under a special blue light, making them more visible to the surgeon.
This clear distinction between healthy and abnormal tissue significantly enhances the precision of tumor removal, reducing the risk of damaging surrounding liver tissue.
By combining these fluorescence techniques with advanced artificial intelligence (AI) and machine learning (ML) algorithms, our solution takes this a step further. It provides real-time, highly accurate 3D reconstructions of the surgical field, improving not only diagnostic accuracy but also enhancing visibility of delicate tissues and blood vessels. As a result, surgeons can plan and execute procedures with greater precision, and all of this is achieved without the need for excessive use of contrast agents.
The form has been successfully submitted.
Our excellent customer support team is ready to help.
