据了解，相比传统人工阅片平均用时30分钟，该系统依托强大算力与优化算法，可在2秒内完成阅片分析并生成结构化报告，每小时完成的阅片量相当于三甲医院150名影像科医生全天的工作量。

Machine learning and deep learning algorithms can process medical images much faster and more efficiently than humans. For this reason, it is widely believed that AI in medical diagnostics could ...

简而言之，该技术利用AI放大并识别平扫CT图像中那些肉眼难以识别的细微的病灶特征，实现高效、安全的早期胰腺癌检测，并克服了过往 ... 11月21日，国际医学顶级期刊《Nature Medicine》最新研究表明，通过“平扫CT+AI”，人类首次拥有了大规模早期胰腺 ...

Innovation roadmap for the report 'AI in Medical Diagnostics 2020-2030: Image Recognition, Players, Clinical Applications, Forecasts'.

According to the agreement, the lab will rely on Guizhou's medical big data and expert medical teams, as well as iFLYTEK's strength in AI, big data digging, and application.