Improving diagnostic recognition of primary hyperparathyroidism with machine learning

Recurrent Acute Pancreatitis: A Diagnostic Clue to Primary Hyperparathyroidism

Diagnostic Imaging Pathways - Hyperparathyroidism (Primary Suspected)

Machine learning based Visual Evoked Potential (VEP) Signals Recognition

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

recurrent acute pancreatitis: a diagnostic clue to primary hyperparathyroidism

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Improving Machine Learning Ability with Fine-Tuning

Item Response Theory (IRT) allows for measuring ability of Machine Learning models as compared to a human population. However, it is difficult to create a large dataset to train the ability of deep neural network models (DNNs). We propose Crowd-Informed Fine-Tuning (CIFT) as a new training process, where a pre-trained model is fine-tuned with a specialized supplemental training set obtained via...