Pituitary & hypothalamus

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

Eur J EndocrinolPublished Diagnostic accuracy study

Authors' conclusion

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.

Study context

Population
77 acromegaly patients (52.56 ± 11.74, 34 males/43 females; 56/77 (73%) in remission) and 71 healthy controls (48.47 ± 8.91, 39 males/32 females), gender- and age-compatible
Comparison
Deep learning models for detecting acromegaly from facial images
Outcome
Detection of acromegaly from facial images
Methodological detailscross-sectional, single-centre
  • Cross-sectional
  • Single-centre

Performance

As reported in the abstract

Test or modelSensitivitySpecificityPPVAccuracyPrecision
ResNet50— not stated in the abstract— not stated in the abstract0.958— not stated in the abstract— not stated in the abstract
DenseNet121— not stated in the abstract— not stated in the abstract0.965— not stated in the abstract— not stated in the abstract
InceptionV3— not stated in the abstract— not stated in the abstract0.962— not stated in the abstract— not stated in the abstract
Ensemble Method (EM)0.9970.9970.9970.9970.998

Sensitivity

ResNet50— not stated in the abstract
DenseNet121— not stated in the abstract
InceptionV3— not stated in the abstract
Ensemble Method (EM)0.997

Specificity

ResNet50— not stated in the abstract
DenseNet121— not stated in the abstract
InceptionV3— not stated in the abstract
Ensemble Method (EM)0.997

PPV

ResNet500.958
DenseNet1210.965
InceptionV30.962
Ensemble Method (EM)0.997

Accuracy

ResNet50— not stated in the abstract
DenseNet121— not stated in the abstract
InceptionV3— not stated in the abstract
Ensemble Method (EM)0.997

Precision

ResNet50— not stated in the abstract
DenseNet121— not stated in the abstract
InceptionV3— not stated in the abstract
Ensemble Method (EM)0.998

— not stated in the abstract

Original publication

Real-time detection of acromegaly from facial images with artificial intelligence. Eur J Endocrinol. Published 13 January 2023. doi:10.1093/ejendo/lvad005

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