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Report:Current situation and prospect of medical imaging artificial intelligence for chest diseases

创建时间:  2021/03/01  李晨晨   浏览次数:   

https://tpt.shu.edu.cn/__local/C/32/DE/DCAA55467B875B90767110BE972_5A0F1DF7_4B86.jpg

Reporter: Professor Liu Shiyuan

Medical imaging AI research starts from lung nodules, and landing scenes may be realized first from chest diseases. For chest diseases, AI products are needed to empower and help in image acquisition, quality control, focus detection, focus characterization, focus quantification, focus classification and typing, principle of targeted therapy, and efficacy evaluation. At present, the problem of detection and differentiation of pulmonary nodules has been well solved, rib fracture and plain film multi-task learning model also show good application prospects. However, the multi-organ multi-task learning model based on the examination site, especially the interstitial diseases with high latitude, still needs the cooperation of the upstream and downstream of the industry, university, research and application. AI revolution is bound to change our working mode and improve our work efficiency. We move forward with expectations.

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