In a recent study published in the journal npj Precision Oncology, researchers conducted a systematic review to examine the accuracy of deep learning (DL) in diagnosing breast cancer using ultrasound ...

LINCOLNSHIRE, Ill.--(BUSINESS WIRE)-- Zebra Technologies Corporation (NASDAQ: ZBRA), a leading digital solution provider enabling businesses to intelligently connect data, assets, and people, today ...

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key classification tasks. The VGG16 convolutional neural network (CNN) achieved high ...

Jointly developed by investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group and the Bellvitge University Hospital's Neuroradiology Unit, the Diagnosis in Susceptibility ...

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

An AI model with the potential to transform cervical spondylosis diagnosis by spotting subtle vertebral changes quickly and accurately.

Researchers have developed a new deep learning AI tool that generates life-like birdsongs to train bird identification tools, helping ecologists to monitor rare species in the wild. Researchers have ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...