Medical Imaging

AI Model Can Help Detect Collapsed Lung Using Chest X-rays

by Shania Kennedy

A new study published last week in JAMA Network Open shows that an artificial intelligence (AI) model can accurately detect simple and tension pneumothorax on chest radiographs. According to Mayo...

Deep Learning Predicts Heart Disease, Stroke Death Risk Using Single X-ray

by Shania Kennedy

Researchers from Massachusetts General Hospital and Brigham and Women's Hospital have developed a deep-learning model that uses a single chest X-ray to predict the 10-year risk of death from a...

Google Health Launches AI Partnership to Improve Breast Cancer Screening

by Shania Kennedy

Google Health and mammography artificial intelligence (AI) vendor iCAD, Inc. announced a strategic partnership to integrate Google Health’s AI technology into iCAD’s portfolio of breast...

Radiologists to Develop AI to Perform Routine Medical Tasks, Supplement Staff

by Shania Kennedy

A research team from the University of Iowa is developing a device that leverages artificial intelligence (AI) to perform simple radiology tasks and procedures in an effort to supplement staff and...

Hackensack Meridian Health to Leverage Google’s New Medical Imaging Tool

by Shania Kennedy

New Jersey-based Hackensack Meridian Health is set to implement Google Cloud’s newly released Medical Imaging Suite to de-identify petabytes of images to enhance the health system’s...

Data Science Tools Can Help Boost Speed, Quality of MRI Reconstruction

by Mark Melchionna

Published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS), new research findings from the University of Minnesota indicate that the use of data science...

Harvard, Stanford Develop Self-Supervised AI to Detect Disease Via X-ray

by Shania Kennedy

Harvard Medical School (HMS) and Stanford University researchers have developed an artificial intelligence (AI) tool that can detect disease within chest radiographs using natural language processing...

Collaborative Approach to Developing Radiography ML Helps Quantify Joint Damage

by Shania Kennedy

A new study published in JAMA Network Open last week shows that machine-learning (ML) models developed using a crowdsourcing approach can improve efforts to quantify radiographic joint damage in...

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...

Artificial Intelligence Improves Endoscopy Detection Rates, Reporting

by Shania Kennedy

A new study in JAMA Network Open found that the use of an artificial intelligence (AI)-based tool designed to review videos of small bowel capsule endoscopy (SBCE) resulted in a higher detection rate...

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...

Johns Hopkins Awarded $10M for Genomics, Immunotherapy Research

by Shania Kennedy

The Mark Foundation for Cancer Research and the Bloomberg-Kimmel Institute for Cancer Immunotherapy (BKI) awarded $10 million to The Johns Hopkins University (JHU) to accelerate groundbreaking genomics...

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...

Geisinger Deploys AI Imaging Model to Diagnose Coronary Artery Disease

by Shania Kennedy

Clinicians at Pennsylvania-based Geisinger health system have deployed an artificial intelligence (AI) medical imaging model that uses computed tomography (CT) scans to create 3D models of a...

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...

AI Can Detect Race When Clinicians Cannot, Increasing Risk of Bias

by Shania Kennedy

Researchers have found that artificial intelligence (AI) models can accurately detect self-reported racial identity using medical images, but the mechanisms they use to do so are unclear to...

NJ Health System Implements AI Imaging Tool to Improve Health Outcomes

by Shania Kennedy

Atlantic Health System and New York-based artificial intelligence healthcare solutions company Aidoc have announced a partnership to implement an AI imaging solution to help physicians expedite care...

AI to Detect Hip Fracture Outperforms Clinicians, But Use May Be Limited

by Shania Kennedy

A deep-learning algorithm outperformed clinicians at detecting proximal femoral fractures, a type of hip fracture, when presented with X-ray images, according to a study published in The Lancet Digital...

Research Challenges Limit Machine Learning Use in Medical Imaging

by Shania Kennedy

Though research on machine learning use in medical imaging has grown significantly in recent years, improvements in the clinical use of such data remain limited, according to a study published in npj...