"Chest X-ray interpretation is often a qualitative assessment, which is problematic from deep learning standpoint," said Daniel Tse, M.D., product manager at Google Health.

"Chest X-ray interpretation is often a qualitative assessment, which is problematic from deep learning standpoint," said Daniel Tse, M.D., product manager at Google Health.

On the chest radiography level, researchers found a higher AU-ROC for the detection of any lung lesion with vs. without AI-assisted interpretation (0.84; 95% CI, 0.778-0.903 vs. 0.718; 95% CI, 0. ...

ASU researchers launch Ark+, an open-source AI chest X-ray tool that outperforms tech giants like Google and Microsoft.

"Chest X-ray interpretation is often a qualitative assessment, which is problematic from deep learning standpoint," said Daniel Tse, M.D., product manager at Google Health.

An AI chest x-ray reader could provide near instantaneous interpretations. And AIs will never need to take lunch breaks or get distracted by noisy working conditions or complain about working 24 ...

Of the 500 chest radiographs, 434 were portable anterior-posterior acquisitions, while one was upright posterior-anterior, and 65 were lateral posterior-anterior films.

Having a chest X-ray can be a valuable tool for your doctor to help diagnose an illness. It can however be misleading if it is used alone rather than with other tools to make that diagnosis.

"Chest X-ray interpretation is often a qualitative assessment, which is problematic from deep learning standpoint," said Daniel Tse, M.D., product manager at Google Health.