Seeing the World With AI: How Deep Learning Enables a New Era of Imaging Technologie
summary
Neural networks now map raw sensor measurements to images—for example accelerated MRI takes sparse k-space lines and outputs super‑sharp, clinically accurate reconstructions that visibly beat traditional algorithms. Smartphone night modes use the same idea: many short low‑light captures plus a network produce clean photos despite a tiny smartphone lens. Main failure mode is distribution shift: models trained at one hospital or scanner drop performance elsewhere; practical fixes are test‑time training or building large, diverse datasets, both shown to restore accuracy.
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