AIMC Topic: Artificial Intelligence

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Translating AI to Clinical Practice: Overcoming Data Shift with Explainability.

Radiographics : a review publication of the Radiological Society of North America, Inc
To translate artificial intelligence (AI) algorithms into clinical practice requires generalizability of models to real-world data. One of the main obstacles to generalizability is data shift, a data distribution mismatch between model training and r...

Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists' diagnostic accuracy.

Cephalalgia : an international journal of headache
BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artificial intelligence-based headache diagnosis model using a large questionnaire database in a specialized headache hospital.

Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial.

Annals of the American Thoracic Society
Artificial intelligence (AI)-assisted diagnosis imparts high accuracy to chest radiography (CXR) interpretation; however, its benefit for nonradiologist physicians in detecting lung lesions on CXR remains unclear. To investigate whether AI assistan...