AI health screening

AI health screenings encompass a wide array of different technologies and use cases. Smartphone-based AI technologies can be particularly helpful in remotely collecting and assessing patient data. These platforms leverage machine learning algorithms to analyze the information, allowing for remote screening for many diseases and conditions. These insights can be linked to a healthcare provider’s platform, enabling clinicians to monitor the health and wellness of their patients from afar.

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AI health screenings can leverage something as simple as a video from a patient’s smartphone. In collecting this data, these platforms will use rPPG and rBCG technology to detect subtle changes to a patient’s face or body. These insights can inform on key vital signs that are essential to monitor, particularly in patients at risk of hypertension, heart disease, and arrhythmia.

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For example, newer machine learning models can detect blood flow in the face from a simple video face scan. This assessment can help to identify atrial fibrillation with a high level of specificity and sensitivity.