APPLICATION OF AI- TECHNOLOGIES FOR EVALUATING ANTHROPOMETRIC INDICATORS IN ATHLETES

Турдиалиев, Ш, Мальков, А, Турдиалиев, Ш, Мальков, А, Turdialiyev, Sh, Malkov, A

Тиббиёт ва спорт · 2026-yil

Annotatsiya

To organize digital anthropometry solutions enabled by artificial intelligence (Al) and evaluate their accuracy, reliability, and clinical utility in sports medicine settings. We summarize smartphone-based 2D/3D systems, 3D optical scanners, and depth-sensing devices that have been validated against reference standards (DXA, ISAK, 4C). Core metrics include ICC, MAE, RMSE, and LOA. Implementation parameters (scan time, cost, throughput) are discussed. Special attention is paid to athletic cohorts with low body fat and muscularity, where model bias may occur. A hybrid deployment pathway is proposed, combining cabin scanners with smartphone-based systems and local calibration.

Maqola ma’lumotlari
MualliflarТурдиалиев, Ш, Мальков, А, Турдиалиев, Ш, Мальков, А, Turdialiyev, Sh, Malkov, A
JurnalТиббиёт ва спорт
Nashr sanasi2026-06-13
Son3
TilRus

Kalit so‘zlar

цифровая антропометрия, 3D-сканер, ИИ, спортивная медицина, валидация, воспроизводимость, digital anthropometry, 3D scanner, artificial intelligence, sports medicine, validation, reliability, raqamli antropometriya, 3D skaner, sun’iy intellekt, sport tibbiyoti, aniqlik, qayta o‘lchash ishonchliligi

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