AI: Page 7

Invamed unveils AI-based clinical platform
By AuntMinnie.com staff writers
Medtech company Invamed has released their new clinical platform for beta enrollment as an AI-powered diagnostic application.
June 6, 2025
Artificial Intelligence Ai Medical Healthcare Tools 400
AI model predicts breast cancer risk in diverse population
By Amerigo Allegretto
An AI-based breast cancer risk-prediction model performed well in a diverse study population.
June 6, 2025
Breast Mammo Computer 400
Clairity deploys AI for breast cancer risk prediction
By Erik L. Ridley
Clairity believes that its new AI software can deliver improvements over traditional breast cancer risk-prediction models.
June 6, 2025
Clinical workflow with Clairity Breast. Graphic courtesy of Clairity.
RadNet buys ultrasound AI developer See-Mode Technologies
By AuntMinnie.com staff writers
RadNet has bought AI ultrasound developer See-Mode Technologies.
June 4, 2025
Ai Handshake
Podcast: Florence Doo on how AI is affecting radiology
By Kate Madden Yee
Florence Doo, MD, discusses how AI is affecting radiology and how best to put it to use in patient care.
June 4, 2025
Doo Thumbnail
AI-directed breast MRI scanning may lead to shorter scan times
By Amerigo Allegretto
AI-directed stratified breast scanning could help decrease scan times in breast imaging by triaging women to abbreviated MRI protocols.
June 3, 2025
2025 06 03 Rsna Ai Breast Mri Triage Thumbnail
If AI finds an abnormality that a radiologist misses, who's at fault?
By Maryam Payne
Radiologists who miss an abnormality on an image are more likely to be seen as legally culpable if AI detects the abnormality.
June 3, 2025
Artificial Intelligence Ai And Law
The PACSman Pontificates: Should AI be free?
By Michael J. Cannavo
In a new column, consultant Michael J. Cannavo, aka the PACSman, shares his take on whether radiology AI should be free.
June 2, 2025
Michael J. Cannavo.
MRI radiomics helps predict liver cancer treatment response
By AuntMinnie.com staff writers
A study presented at ASCO 2025 highlighted the benefits of MRI radiomics analysis in predicting treatment response in patients with advanced liver cancer.
June 1, 2025
Pxl 20250531 175048475~2
Explainable DL MRI model shows promise diagnosing liver cancer
By Will Morton
A deep-learning (DL) MRI model not only classifies liver lesions but also provides visual explanations for its decisions.
May 30, 2025
A graphical abstract of the study.
ConcertAI launches AI-driven software package Precision Suite
ConcertAI has launched a new AI-powered software package called Precision Suite.
May 30, 2025
Ai
German researchers tout U-Net for pixel-level lung thickness maps
By Liz Carey
The deep-learning model may be helpful for diagnosing and preventing the progression of pulmonary diseases during routine chest x-ray screenings.
May 28, 2025
Qualitative results of eight frontal chest radiographs from the synthetic public test set, where each column represents one participant. Participants one through four are from the Luna16 test set, and participants five through eight are from the pulmonary embolism test set. (A) Simulated input radiographs, (B) predicted thickness maps, (C) reference standard thickness maps, and (D) absolute difference between the reference standard and predicted maps. The color bars for B and C indicate lung thickness in millimeters (mm). The color bar for D indicates the pixel-level estimation error in mm.
Previous Page
Page 7 of 385
Next Page