BLI (Blue Laser Imaging) and LCI (Linked Color Imaging) are technologies that enhance the visibility of lesions by adjusting the color tones in endoscopic images. On the other hand, AI (artificial intelligence) has the capability to learn patterns from vast amounts of data and predict new information.
When these technologies are combined, AI can learn the specific features of lesions highlighted by BLI and LCI. This enables AI to accurately identify lesions in new images, even those that may be too subtle for human eyes to detect. As a result, the diagnostic accuracy is significantly enhanced, with AI helping to catch small lesions that physicians might otherwise overlook.
Additionally, AI can instantly apply the knowledge it has learned, allowing for real-time detection of abnormalities during endoscopic examinations. This not only improves the efficiency of the procedure but also helps reduce the workload on physicians, enabling them to focus on more complex decision-making.
By integrating these technologies, early detection and accurate diagnosis become more achievable, which can potentially improve the success rate of treatments. Furthermore, this combination can streamline clinical workflows, reducing wait times for tests and helping patients save on medical costs. Ultimately, this innovative approach contributes to better healthcare outcomes and improved quality of life for patients.