New AI Tool Uses Selfies to Predict Cancer Survival Chances

New Delhi, October 20 (Daily Kiran) : A simple selfie taken with a mobile phone could soon provide insights into the health and survival prospects of cancer patients. Researchers at Brigham and Women’s Hospital in Massachusetts have developed an AI-based tool capable of assessing a patient’s biological age and cancer-related risks from facial images. However, this technology is still in the research phase and should not be seen as a definitive prognosis for any patient.

The findings of this study were published on October 19 in “The Lancet Digital Health.” The researchers trained their AI model using over 40 million facial images to help it recognize features across different ages and diverse backgrounds.

Two complementary AI tools were created during the research. The first, known as FAHR-FaceAge, estimates a person’s biological age based on their face, aiding in assessing cancer survival probabilities. The second tool, FAHR-FaceSurvival, attempts to directly estimate survival risks from facial images.

Biological age does not solely refer to the number of years since birth; it also reflects how a person’s physical condition compares to their actual age. There can be significant differences in the physical health of two individuals of the same age. Researchers believe that certain facial indicators can provide valuable information about overall health.

The study focused on different facial features for each AI tool. The biological age estimator analyzes lines from the forehead, temples, and along the sides of the nose to the mouth. In contrast, the survival risk assessment tool primarily examines features around the eyes and the upper part of the nose.

According to the researchers, both tools utilize various facial data to provide doctors with additional assessments of a patient’s condition, allowing for a more personalized approach to treatment decisions.

The potential significance of this technology lies in the fact that a patient’s age, physical capacity, and overall health are crucial in cancer treatment. If AI can help identify higher risk indicators in a patient, doctors can consider this information alongside other medical data and tests.

However, experts face several challenges. Estimates derived from facial images cannot replace considerations of cancer type, disease stage, a patient’s medical history, or their response to treatment. Ensuring that the technology remains equally reliable across different skin tones, ages, and other characteristics is also essential.

Facial images contain personal biological identifiers. Therefore, the medical use of such technology must prioritize patient consent, data security, and the potential impacts of inaccurate predictions.

This research marks a significant step toward exploring the possibilities of AI in cancer treatment. If future extensive trials confirm its reliability, a simple photograph could offer doctors additional insights into a patient’s condition. Nonetheless, treatment decisions and predictions regarding a patient’s future should always be based on medical evaluations, expert advice, and available scientific evidence.