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Real-time detection of acromegaly from facial images with artificial intelligence.

Muhammed KizilgulRukiye KarakisNurettin DoganHayri BostanMuhammed Mutlu YapiciUmran GulBekir UcanElvan DumanHakan DugerErman CakalOmer Akin
Published in: European journal of endocrinology (2023)
The present study provided evidence that the proposed AcroEnsemble Model might detect acromegaly from facial images with high performance. This highlights that artificial intelligence programs are promising methods for detecting acromegaly in the future.
Keyphrases
  • artificial intelligence
  • deep learning
  • big data
  • machine learning
  • convolutional neural network
  • growth hormone
  • optical coherence tomography
  • soft tissue
  • public health
  • current status
  • real time pcr