Radiology

Locally Run Large Language Models May Help Preserve Patient Privacy

October 20, 2023 - Researchers from the National Institutes of Health Clinical Center (NIH CC) found that a locally run, privacy-preserving large language model (LLM) may be suitable for labeling radiography reports, according to a study published last week in Radiology. While LLMs like ChatGPT have recently been lauded for their ability to generate human-like text...

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Breast Cancer Detection AI Performs On Par with Human Mammogram Readers

by Shania Kennedy

The diagnostic performance of a commercially available artificial intelligence (AI) algorithm was comparable with that of human readers of mammograms, according to a study published recently in...

ChatGPT Accurately Selects Breast Imaging Tests, Aids Decision-Making

by Shania Kennedy

Researchers from Mass General Brigham have shown that ChatGPT and other large language models (LLMs) may be able to accurately identify appropriate imaging tests for certain clinical presentations,...

AI-Based “Denoising” in Medical Imaging May Require Further Evaluation

by Shania Kennedy

Researchers at Washington University in St. Louis are investigating how deep learning (DL) tools to “denoise,” or clean up, medical images impact the clinical utility of those...

Researchers Highlight Pros and Cons of ChatGPT in Clinical Radiology

by Shania Kennedy

A new opinion piece published in the Journal of the American College of Radiology discusses the potential benefits, pitfalls, and ethical implications of leveraging large language models (LLMs),...

Optimized AI Assists Senior Radiologists in Thyroid Nodule Diagnostics

by Mark Melchionna

A study published in JAMA Network Open found that in the process of thyroid nodule management, an optimized artificial intelligence (AI) strategy assisted senior radiologists while a traditional AI...

Automation Bias May Impair Radiologist Performance on Mammograms

by Shania Kennedy

Incorrect advice from artificial intelligence (AI)-based decision support systems may negatively impact the performance and accuracy of radiologists at all levels of expertise when reading mammograms,...

Mayo Clinic: Deep Learning May Improve Head, Neck Radiotherapy

by Shania Kennedy

Researchers from Mayo Clinic demonstrated that an automated deep learning (DL) tool could help improve radiation therapy planning for patients with head and neck cancer, according to a validation study...

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 Shows Potential for Automating Hip Fractures Diagnosis

by Mark Melchionna

A recent study published in JAMA Network Open found that machine-learning (ML) and artificial intelligence (AI) algorithms could use radiographs to diagnose hip fractures with comparable accuracy to...

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...

University of Houston AI Project Aims to Improve Lung Cancer Diagnostics

by Shania Kennedy

Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology teams...

AI Algorithm Can Support Radiologists in Identifying Bowel Issues

by Mark Melchionna

A recent study published in JAMA Network Open described the development and use of a deep-learning algorithm that could help radiologists differentiate between colon carcinoma (CC) and acute...

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...

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...

Mayo Clinic, nference Expand Artificial Intelligence Collaboration

by Mark Melchionna

Mayo Clinic and nference have expanded their artificial intelligence (AI)-based collaboration with the launch of a new platform that will leverage de-identified EHR data to increase access to...

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...

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...

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