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Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm version 2 for quantifying alcohol exposure in electronic images.

Abraham Albert BonelaZhen HeThomas NormanEmmanuel Kuntsche
Published in: Alcoholism, clinical and experimental research (2022)
With extended capabilities and a higher accuracy, ABIDLA2 outperforms its predecessor and enables the screening of any kind of electronic media rapidly to estimate the quantity of alcohol exposure. Quantifying alcohol exposure automatically through algorithms like ABIDLA2 is important because viewing images of alcoholic beverages in media tends to increase alcohol consumption and related harms.
Keyphrases
  • deep learning
  • alcohol consumption
  • convolutional neural network
  • machine learning
  • artificial intelligence
  • liver injury
  • optical coherence tomography
  • neural network