Facial recognition technology is advancing significantly, with new algorithms like Harvard’s FaceAge estimating biological age using selfies. Various apps are emerging to diagnose health conditions, including nasal congestion and PTSD, potentially improving patient care. However, ethics experts express concern regarding the rapid integration of AI into healthcare without comprehensive understanding of the technologies' implications. Human beings have historically relied on facial cues to ascertain health, and these advancements in technology aim to enhance diagnostic abilities and predict health outcomes more accurately.
Facial recognition technologies are evolving rapidly, aiming to diagnose diseases, treat patients more effectively, and predict health outcomes like early death.
The FaceAge algorithm estimates biological age from photos and is part of emerging efforts to use selfies as diagnostic tools in healthcare.
Ethics experts raise concerns about the fast-paced integration of AI in healthcare, emphasizing the need for safety and efficacy in new technologies.
Faces have long been indicators of health; humans have the capability to read facial cues for signs of wellness and illness.
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