Radiology

Google Deep Learning Model Detects Tuberculosis On Par With Radiologists

by Shania Kennedy

New research published this week in the journal Radiology found that a deep-learning (DL) system developed by Google performs on par with radiologists at detecting active pulmonary tuberculosis (TB)...

Framework to Mitigate Bias in Radiology Machine-Learning Models

by Shania Kennedy

A special report published in Radiology: Artificial Intelligence last week highlighted the practices that can lead to bias in artificial intelligence (AI) and machine-learning (ML) models increasingly...

Deep Learning May Improve Identification of Brain Tumors

by Shania Kennedy

New research published in JAMA Network Open indicates that a deep learning tool trained to identify and classify brain tumors based on standard MRIs may aid neuroradiologists in diagnosis. The...

AI for Medical Imaging Boosts Cancer Screenings with Provider Aid

by Shania Kennedy

A study published in The Lancet Digital Health this month highlights how a decision-referral approach, in which radiologists work with artificial intelligence (AI) models to evaluate breast cancer...

AI Approved for Adults May Aid Interpretation of Pediatric Chest Images

by Shania Kennedy

A study published in Scientific Reports earlier this month found that artificial intelligence (AI)-based software approved for use in interpreting adult chest radiographs achieved high performance on...

NC Radiology Center to Deploy AI Tools for Enhanced Breast Cancer Care

by Shania Kennedy

Physician-owned radiology company US Radiology Specialists is partnering with advanced artificial intelligence (AI) software company Volpara Health to deploy AI tools at Charlotte Radiology with the...