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Deep learning model estimates sex, age, height, and weight from CT scans

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a deep learning ensemble capable of estimating adult sex, age, height, and weight from CT scans. The model, which combines ConvNeXt-Base, ViT-Base/16, and MaxViT-Base architectures, achieved high accuracy in sex classification and low mean absolute errors for age, height, and weight. The study, involving over 128,000 CT examinations from Japan, demonstrated that body surface area calculated from estimated values could reproduce trends observed with true measurements, suggesting potential applications in medical analysis. AI

IMPACT This research demonstrates a novel application of deep learning in medical imaging, potentially improving efficiency and accuracy in patient data estimation from CT scans.

RANK_REASON Academic paper detailing a new deep learning model and its performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Deep learning model estimates sex, age, height, and weight from CT scans

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Academic paper detailing a new deep learning model and its performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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66 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Tomohiro Kikuchi, Kohei Yamamoto, Yukihiro Nomura, Yosuke Yamagishi, Takeharu Yoshikawa, Toshiaki Akashi, Jun Kamohara, Hiroyuki Fujii, Harushi Mori ·

    Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs

    arXiv:2607.18638v1 Announce Type: cross Abstract: Purpose: To develop and validate a deep learning ensemble for estimating adult sex, age, height, and weight from coronal digitally reconstructed radiographs (DRRs) generated from diagnostic CT. Materials and Methods: This retrospe…

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