Radiology Partners touts AI implementation in 20M exams

AuntMinnie.com staff writers
Nov 13, 2023

Radiology Partners has implemented its AI tools in more than 20 million annual exams this year.

The company has run more than 30 million images through its imaging AI and 116 million reports through its natural language processing AI, according to the firm.

Radiology Partners collaborates with Aidoc, RadAI, Subtle AI, iCAD, and vRad, it said.

Latest in Artificial Intelligence
Researchers have developed a CT-based deep-learning model for predicting liver decompensation in PSC patients. Pictured is the team's diagram of the pipeline it developed for distinguishing between decompensation and no decompensation is presented in various planes. Image courtesy of Yashbir Singh, PhD.
Deep-learning model plus CT predicts liver decompensation in PSC patients
December 23, 2024
Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
AI improves diagnosis of acute PE, and thus patient care
December 23, 2024
Top 10 Gold Social
Body composition analysis, MRI safety topped 2024's most read articles
December 20, 2024
Artificial Intelligence Ai Suit
Recommendations address AI bias, data transparency
December 18, 2024
Related Stories
Business Handshake Intelligence Sm
Administration
Radiology Partners enlists IKS Health for administrative help
Research Money 400
Artificial Intelligence
Radiology Partners closes $720M growth equity investment
Business Man Handshake 400
Artificial Intelligence
Radiology Partners launches RPX AI platform on AWS HealthImaging
Lawsuit
Medicolegal
Lawsuit between RP and UHC may be settled by arbitration
More in Artificial Intelligence
Deep-learning model plus CT predicts liver decompensation in PSC patients
By Amerigo Allegretto
A deep-learning model applied to CT imaging can predict liver decompensation in patients with primary sclerosing cholangitis (PSC).
December 23, 2024
Researchers have developed a CT-based deep-learning model for predicting liver decompensation in PSC patients. Pictured is the team's diagram of the pipeline it developed for distinguishing between decompensation and no decompensation is presented in various planes. Image courtesy of Yashbir Singh, PhD.
AI improves diagnosis of acute PE, and thus patient care
By Kate Madden Yee
Using an AI-based prioritization algorithm with CTPA to diagnose acute pulmonary embolism could enhance patient care by getting imaging results to clinicians more quickly.
December 23, 2024
Am 2022 06 09 21 09 4701 Pulmonary Embolism Illustration V2 400
Body composition analysis, MRI safety topped 2024's most read articles
By Liz Carey
While COVID and radiology salaries hit the top of AuntMinnie.com's Top 10 most-read posts of 2023, they rounded out the bottom of this year's list.
December 20, 2024
Top 10 Gold Social
Recommendations address AI bias, data transparency
By Amerigo Allegretto
New recommendations seek to make medical AI safe and effective for everyone by tackling the issues of bias and transparency.
December 18, 2024
Artificial Intelligence Ai Suit
AdvaMed applauds House Task Force on AI report
By AuntMinnie.com staff writers
AdvaMed commended the end-of-year report submitted to the U.S. Congress on December 17 by the House Task Force on AI.
December 18, 2024
Artificial Intelligence Ai Abstract 400
AI model used with one-inhale CT helps diagnose COPD
By Kate Madden Yee
A convolutional neural network used with a one-inhalation lung CT scan protocol can diagnose and stage chronic obstructive pulmonary disease (COPD).
December 12, 2024
Heart Pulmonary Trunk
ChatGPT promising as support tool for researchers getting started in AI
By Amerigo Allegretto
ChatGPT could serve as an academic reference tool for early-career radiologists and researchers.
December 11, 2024
Ai Woman
Lunit secures Australian Insight MMG contract
By AuntMinnie.com staff writers
Lunit has secured a contract to provide BreastScreen New South Wales in Australia with its breast cancer detection software, Lunit Insight MMG.
December 9, 2024
Lunit Logo
AI scoring predicts DCIS recurrence
By Amerigo Allegretto
AI scoring for assisting mammography interpretation can help predict recurrences in women treated for ductal carcinoma in situ (DCIS).
December 9, 2024
Jung Hyun Yoon, MD, PhD, from Yonsei University in Seoul, South Korea presented her team’s findings at RSNA 2024. The researchers found that AI scores from a commercial system can predict ipsilateral recurrences after DCIS treatment.
Study shows women will pay for AI breast cancer screening exam
By Liz Carey
Some clinical practices have elected to offer enhanced workflows enabled by AI, at an additional cost.
December 5, 2024
Abnormal mammogram (left) compared with normal mammogram. Image courtesy of the RSNA.
AI guru explains why he left X and joined Bluesky
By AuntMinnieEurope.com staff writers
An influential figure in radiology AI has elaborated on his decision to quit X (formerly Twitter) and sign up for Bluesky, the social networking service.
December 2, 2024
Twitter Logos Pile
LLMs decrease in accuracy over time on radiology exams
By Will Morton
Large language models (LLMs) demonstrate high accuracy on radiology exams, yet decrease in accuracy over time.
November 21, 2024
Chatgpt
Page 1 of 372
Next Page