At 7:30 in the morning, before the glass curtain wall of the CBD office building was completely dyed by the rising sun, Qian Jela had already walked into the door of "Zhiwei Technology" on high heels. Her office is located near the window of the product department. There are no extra decorations on the desktop. There are only a laptop with dual screens connected, a loose-leaf book full of needs, and a cup of freshly brewed cold brew coffee. As the person in charge of the company's AI medical product line, she needs to use the clearest brain to deal with daily "multi-front operations."
The moment I press the power button, the first page that lights up on the screen is not the desktop wallpaper, but the progress dashboard of the "Medical Assistance V3.0" Project. The red warning item is particularly eye-catching: the system log at 23:00 last night showed that the accuracy of lung CT image recognition at primary hospitals dropped by 0.3% Compared with the day before. This number may be insignificant in the eyes of ordinary people, but in the field of medical AI, a 0.1% Deviation may double the risk of misdiagnosis. Qian Jiela quickly slid her fingertips on the touch pad to call up the data details, focusing on the "newly accessed data batches of three county-level hospitals."
