TY  - JOUR
AU  - Bonilla, Diego A.
PY  - 2022
DA  - 2022/12/26
TI  - Artificial Intelligence Applications in Digital Anthropometry <sup><a class="tippyShow" data-tippy-arrow="true"data-tippy-content="Presented as a keynote at the 'I Congreso Iberoamericano de Antropometría Aplicada' organized by the 'Red Iberoamericana de Investigadores en Antropometría Aplicada'." data-tippy-interactive="true"data-tippy-theme="light-border"style="cursor:pointer">1</a></sup>
JO  - OBM Integrative and Complementary Medicine
SP  - 056
VL  - 07
IS  - 04
AB  - Anthropometric measurements are frequently used to assess changes in body composition in different populations. Despite being a cheap, in-field, and relatively valid technique, the COVID-19 pandemic has impulse research on digital anthropometry across the globe. Machine learning, as the convergence of artificial intelligence and data mining, has the potential to improve data collection and analysis in the applications of kinanthropometry. Far from replacing conventional methods, digital anthropometry is a powerful opportunity to increase accuracy, validity, practicality, and the use of self-monitoring procedures under professional supervision. However, further research and scientific literacy among practitioners are warranted.
SN  - 2573-4393
UR  - https://doi.org/10.21926/obm.icm.2204056
DO  - 10.21926/obm.icm.2204056
ID  - Bonilla2022
ER  -