[4/4] iMedImage® medical imaging base model, and the AI ​​AutoVision® karyotype auxiliary diagnosis software based on the model. (Sina Technology)

[2/4] Biotechnology Co., Ltd. brought its self-developed iMedImage® medical imaging base model to the "Hangzhou AI Eighteen Arhats" joint exhibition area. Deshi was listed on the main board of the Hong Kong Stock Exchange on March 30, becoming the first large-scale medical imaging

[1/4] 2026-04-22 20:28:05 - [Deshi: The iMedImage medical imaging base model covers more than 90% of clinical medical imaging scenarios and can reduce disease-specific AI model development costs by more than 90%] At the 10th All Things Growth Conference in 2026, Hangzhou Deshi

across various medical imaging tasks. iMedImage provides clinicians with a precise imaging analysis tool and contributes to improving diagnostic accuracy and disease screening. [8/8 of https://arxiv.org/abs/2503.21836v1]

segmentation, karyotyping, and abnormality detection, reaching a sensitivity of 92.75% and a specificity of 91.5%. Conclusion: We propose iMedImage, an end-to-end foundation model for medical image analysis, demonstrating its superior performance [7/8 of https://arxiv.org/abs/2503.21836v1]

domains, including chromosome, cell, pathology, ultrasound, X-ray, CT, and MRI images. Based on this dataset, we developed the iMedImage model, which incorporates the following key features: (1) a unified representation method for diverse modality [4/8 of https://arxiv.org/abs/2503.21836v1]

effectiveness varies across modalities. Leveraging advances in Foundation Models that integrate multimodal medical imaging for robust feature extraction and accurate diagnosis, we developed iMedImage, an end-to-end model for general medical image [2/8 of https://arxiv.org/abs/2503.21836v1]

Ran Wei, ZhiXiong Lan, Qing Yan, Ning Song, Ming Lv, LongQing Ye: iMedImage Technical Report https://arxiv.org/abs/2503.21836 https://arxiv.org/pdf/2503.21836 https://arxiv.org/html/2503.21836

Diagens Revolutionizes Medical AI with New Growth Strategies and Annual Results#Medical_AI#iMedImage#Diagens

Revolutionizing Genetic Analysis: Rapid AI Karyotype Solutions from China Shine at ESHG 2025#Italy#Milan#Diagens_Biotechnology#iMedImage#Karyotype_AI

Ran Wei, ZhiXiong Lan, Qing Yan, Ning Song, Ming Lv, LongQing Ye
iMedImage Technical Report
https://arxiv.org/abs/2503.21836