Medical Imaging

AI In Medical Imaging May Amplify Biases, Inequities

by Shania Kennedy

Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI)...

University of Florida Health Announces AI-Driven Radiology Initiative

by Shania Kennedy

University of Florida (UF) Health and Nuance Communications Inc., a Microsoft company, have launched a collaboration aimed at leveraging artificial intelligence (AI) to make radiologists’ work...

AI for Psychiatric Diagnosis Presents Bias, Clinical Applicability Issues

by Shania Kennedy

A systematic review published last week in JAMA Network Open evaluating potential risks of translating neuroimaging-based artificial intelligence (AI) models into direct clinical applications, such as...

AI Model Enables Alzheimer’s Disease Detection from Brain MRIs

by Mark Melchionna

Published in PLOS ONE, a recent study described how a team of researchers at Massachusetts General Hospital (MGH) developed and validated an artificial intelligence (AI) model, specifically a...

AI Could Safely Automate Some X-ray Interpretation

by Shania Kennedy

In a study published this week in Radiology, researchers sought to investigate the clinical impact of autonomous radiograph reporting using a commercially available artificial intelligence (AI) tool...

DL Tool Triages Chest Pain Patients, Predicts Adverse Outcomes

by Shania Kennedy

A new study published this week in Radiology shows that a deep-learning (DL) model may help improve care for patients who arrive at the hospital with acute chest pain. According to the news release,...

Artificial Intelligence Can Help Improve MRI Scanning Speed

by Mark Melchionna

Published in Radiology, a study from the NYU Gross School of Medicine and Meta AI Research found that artificial intelligence (AI) can be used to reconstruct magnetic resonance imaging (MRI) scans...

Research Identifies Clinician Support for AI Use in Musculoskeletal Care

by Shania Kennedy

A study published this week in BMC Medical Education identified substantial favorability toward artificial intelligence (AI) in healthcare and AI applied to musculoskeletal (MSK) care, such as skeletal...

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...