Since 2016 IEES 1Since the launch of 0, we have been able to customize an electronic reading system for each customer to meet the needs of clinical trials. After the practice accumulation and technology precipitation of hundreds of projects, the system has been continuously optimized and iteratediees2.0 was officially launched at the end of '23。The system not only inherits IEES10, and innovative features have been continuously introduced to improve the evaluation quality of imaging evaluation-related endpoints.
Recently, IEES20 system is about to launch an important function - medical imaging AI intelligent assisted segmentation and delineation function. This function combines advanced deep learning algorithms and image processing technology to quickly and accurately identify various organs and target lesions in medical images, and accurately outline their contours and boundaries. We strongly believe that with the launch of the feature,It will provide reading experts with a new reading assistant tool, which will significantly improve the reading efficiency and accuracy of reading results.
At present, the AI neural network model trained by the project team and the R&D team can identify diseases such as neuromyelitis optica, glioma, etc. Through continuous training and tuning, the model can identify the types of diseases and the accuracy of target lesion identification will continue to be improved and improved.
It is worth mentioning，iees2.The 0 system's medical imaging AI intelligent assisted segmentation delineation function has made a major breakthrough in the identification and delineation of glioma, which has always been a major challenge in the field of medical imaging. Glioma is a malignant tumor that originates from glial cells, and is often difficult to diagnose due to its deep location, blurred borders, interweaving with surrounding tissues, and aggressive growth. However,With the help of IEES2The AI intelligent assisted segmentation and delineation function of the 0 system enables researchers to clearly define the boundaries of glioma and accurately delineate the scope of the tumor, thus providing strong support for diagnosis.
Red represents edema, green represents liquefaction necrosis, and blue represents the strengthened part
IEES2The 0 system not only improves the accuracy and efficiency of medical imaging diagnosis, but also provides researchers with powerful AI auxiliary tools, which further promotes the rapid development of the medical imaging CRO industry. The launch of this system and the AI intelligent assisted segmentation and delineation function also marks the continuous innovation and leading position of the company in the field of medical imaging.
As a leader in the field of medical imaging in China, we will continue to devote ourselves to technological innovation and service optimization, provide more accurate and efficient new drug R&D support for sponsors, and help the pharmaceutical industry achieve greater breakthroughs.