Johns Hopkins using facial recognition technology for stroke care

Baltimore-based Johns Hopkins Hospital is training a computer algorithm to recognize changes in a patient's face and identify signs of stroke.

By identifying stroke patients through facial recognition rather than brain scans or blood tests, clinicians can speed up the treatment process. The computer algorithm is being trained to recognize signs of stroke such as the paralysis of specific facial muscles or unusual eye movements.

總部位於巴爾的摩的約翰霍普金斯醫院正在訓練一種計算機算法，以識別患者面部的變化並識別中風跡象。

通過面部識別而不是腦部掃描或血液測試來識別中風患者，臨床醫生可以加快治療過程。正在訓練計算機算法識別中風跡象，例如特定面部肌肉的麻痺或不尋常的眼球運動。