Deep Learning

WASHINGTON — According to presented results, a deep-learning computer vision algorithm may accurately measure posterior tibial slope on lateral knee radiographs.

Eko Health announced the FDA clearance and launch of its artificial intelligence-based next-generation digital stethoscope for detection of abnormal heart rhythms.

ImageBiopsy Lab has announced FDA clearance of its ImageBiopsy Lab LAMA, an automated radiological image processing software for measurements of the lower limb, according to a release.

A deep learning model showed the ability to estimate visual function in patients with retinitis pigmentosa from ultra-widefield fundus autofluorescence images, which may provide a new way of objectively assessing disease progression.

A deep learning model showed the ability to estimate visual function in patients with retinitis pigmentosa from ultra-widefield fundus autofluorescence images, which may provide a new way of objectively assessing disease progression.

GE HealthCare announced that the FDA cleared its artificial intelligence-based technology used in MRI systems that enables images to be acquired faster than previously.

A deep learning model accurately identified women with endometrial cancer at low and high risk for distant recurrence, according to research presented at American Association for Cancer Research Annual Meeting.

Via deep learning modeling, researchers in the U.K. observed a monotonic relationship between elevated BP and CV events in patients with diabetes, and not a J-shaped relationship as observed in prior studies.

Compared with visual assessment, a deep learning model improved CT imaging prediction of histopathologic usual interstitial pneumonitis in patients with interstitial lung disease, according to study results published in CHEST.

A multidiagnostic prediction model developed using deep learning was highly predictive of mental disorder diagnosis, according to new data published in JAMA Psychiatry.