AI Medical Compendium Journal:
Allergology international : official journal of the Japanese Society of Allergology

Showing 1 to 3 of 3 articles

Use of explainable AI on slit-lamp images of anterior surface of eyes to diagnose allergic conjunctival diseases.

Allergology international : official journal of the Japanese Society of Allergology
BACKGROUND: Artificial intelligence (AI) is a promising new technology that has the potential of diagnosing allergic conjunctival diseases (ACDs). However, its development is slowed by the absence of a tailored image database and explainable AI model...

Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology).

Allergology international : official journal of the Japanese Society of Allergology
We have summarized the past efforts and results of objective measurement methods for conjunctival hyperemia classification. Severity classification using conjunctival blood vessel occupancy rate, ocular surface temperature analysis, and artificial in...

Deep learning facilitates the diagnosis of adult asthma.

Allergology international : official journal of the Japanese Society of Allergology
BACKGROUND: We explored whether the use of deep learning to model combinations of symptom-physical signs and objective tests, such as lung function tests and the bronchial challenge test, would improve model performance in predicting the initial diag...