Facial Recognition: Who Is Against Early Diagnosis of Heart Disease?

September 3, 2020

The anti-facial recognition cohort may have a new challenge on their capable hands. Facial recognition is controversial. What if analysis of a face — for instance, in a selfie — can lead to an early diagnosis of heart disease. The person is alerted to visit a doctor. What if a life is saved? Is facial recognition granted a hall pass for a medical application?

I don’t want to dwell on fencing applications of pattern recognition. I would suggest that a quick look at “AI Expected to Detect Heart Disease via Selfies: Chinese Researchers” might be interesting. The write up states:

Facial appearance has long been identified as an indicator of cardiovascular risk. Features such as male pattern baldness, earlobe crease, xanthelasmata (yellowish deposit of fat around or on the eyelids) and skin wrinkling are the most common predictors.

And what about accuracy?

According to the results published in the European Heart Journal, the algorithm had a sensitivity of 80 percent and specificity of 54 percent, outperforming the traditional prediction model of coronary artery disease. Sensitivity refers to the algorithm’s ability to designate a patient with a disease as positive, while specificity is the test’s ability to designate a patient without disease as negative.

Interesting. How will anti-FR cohorts deal with medical technology which finds its way into different government agencies? DarkCyber does not have an answer, but perhaps pattern recognition will be banned? Perhaps not, however?

Stephen E Arnold, September 3, 2020

Comments

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