Search: BMI — Academic Articles

Risk factor assessments of temporomandibular disorders via machine learning

Kwang-Sig Lee, Nayansi Jha, Yoon-Ji Kim • Scientific Reports (2021)

Abstract This study aimed to use artificial intelligence to determine whether biological and psychosocial factors, such as stress, socioeconomic status, and working conditions, were major risk factors for temporomandibular disorders (TMDs)....

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-98837-5

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Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

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Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

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Academic Articles & Research Papers

Risk factor assessments of temporomandibular disorders via machine learning

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Managing artificial intelligence