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Google Built a Camera-Based Tool to Estimate Body Fat More Accurately than Wearables

Early tests show the camera-based tool can estimate body fat within 1.5% of DEXA scans, outperforming smartwatch sensors, according to TechRadar.

TL;DR Wearables can estimate body fat using bioelectrical impedance analysis, but really accurate readings require X-ray scans. Google Research shares a new technique for delivering high-quality estimates based on selfies. Beyond just breaking down body composition, the system could also be used to predict insulin resistance. Most of us have a weight problem. According to the NIH, almost 3 out of 4 American adults (73.1%) are either overweight …

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Google test PhotoScan, an AI capable of estimating body composition using photographs and with results close to those of a DXA scanner

·Madrid, Spain
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Google has presented PhotoScan, an evolution to measure body fat by improving traditional methods

So far, it took elaborate medical scans to determine the exact distribution of fat in the body. Google uses Photoscan AI to show that simple 2D images could be sufficient in the future. read more on t3n.de

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Tech Radar broke the news in Bath, United Kingdom on Wednesday, August 19, 2026.
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