STEM与日常科技·英语30篇（1）

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标记医学影像异常的AI算法

Radiologists now use AI tools that scan X-rays, CTs, and MRIs for subtle abnormalities.
These algorithms compare new images against thousands of labeled examples from past patient records.
They highlight suspicious areas—like lung nodules or brain bleeds—with color overlays and confidence scores.
While AI never replaces doctors, it reduces missed findings and speeds up urgent case triage.
Studies show AI-assisted reading cuts average diagnosis time by nearly 30 percent in busy hospitals.
The software must be trained on diverse populations to avoid bias in age, gender, or ethnicity.
Regulatory agencies require rigorous clinical validation before approving any AI diagnostic tool.
Some systems also track changes across sequential scans to detect early disease progression.
Ongoing updates help algorithms adapt to new imaging protocols and rare pathology patterns.
Ultimately, AI augments human expertise rather than substituting for medical judgment.