Video from RSNA 2018: A road map for AI and radiology

Nov 27, 2018

What's being done to pave the way for the intelligent use of artificial intelligence (AI) and radiology? Dr. Keith Dreyer, PhD, and Dr. Bibb Allen Jr. of the American College of Radiology Data Science Institute discuss how the group is laying the groundwork to make AI an everyday clinical tool.

Video Interview with Keith Dreyer and Bibb Allen

CIPHER, an AI-powered CT foundation model, identifies patients with lung cancer at increased risk of immunotherapy-induced pneumonitis before treatment begins. The AI-generated output, shown here, highlights lung abnormalities to support early risk assessment and personalized patient care.

CT-based AI model predicts pneumonitis in lung cancer patients

September 25, 2026

Money Bills Sky Line

UltraSight adds $24 million in new financing

September 24, 2026

Altis Labs raises $25M for CT AI tool

September 21, 2026

Mri Brain Head 400

LLM on par with head-and-neck subspecialists in analyzing MRI reports

September 16, 2026

CT-based AI model predicts pneumonitis in lung cancer patients

By Amerigo Allegretto

The algorithm outperformed clinical and radiomics models in these patients.

September 25, 2026

CIPHER, an AI-powered CT foundation model, identifies patients with lung cancer at increased risk of immunotherapy-induced pneumonitis before treatment begins. The AI-generated output, shown here, highlights lung abnormalities to support early risk assessment and personalized patient care.

UltraSight adds $24 million in new financing

By AuntMinnie.com staff writers

The firm will use the funds in part to expand commercially in the U.S.

September 24, 2026

Money Bills Sky Line

Altis Labs raises $25M for CT AI tool

By AuntMinnie.com staff writers

IPRO is designed to generate survival predictions from routinely acquired CT scans.

September 21, 2026

LLM on par with head-and-neck subspecialists in analyzing MRI reports

By Amerigo Allegretto

GPT-5-Thinking yields similar diagnostic accuracy compared to subspecialists focusing on orbital and head-and-neck MRI.

September 16, 2026

Mri Brain Head 400

Cognita wins $1.29M FDA contract to evaluate radiology AI

By AuntMinnie.com staff writers

The 18-month contract, which took effect June 22, centers on what Cognita calls an "LLMs-as-a-jury" approach.

September 16, 2026

Merge launches MergeIQ AI layer for radiology workflow orchestration

By AuntMinnie.com staff writers

Initial applications for the layer aim to inform diagnostic reading workflows without the need to switch between systems.

September 15, 2026

Epsilon Health raises $27.6M for AI-native radiology practice

By AuntMinnie.com staff writers

The funding will support market expansion, clinical partnerships, and infrastructure investment for the company.

September 10, 2026

Artificial Intelligence Ai Suit 400

Rubric safeguards patient-friendly AI-generated imaging reports

By Amerigo Allegretto

The rubric includes clarity, content, certainty, tone, and verbosity as core attributes.

September 9, 2026

Radiological Report 400

AI model on par with experts in finding femoral-neck fractures

By Amerigo Allegretto

The model improved expert performance in detecting these fractures on pelvic or hip radiographs.

September 9, 2026

Example anteroposterior (AP) pelvic radiographs showing simulated acquisition artifacts used for stage 1 artifact-robust pretraining. Images are derived from the same AP pelvic radiograph from a 75-year-old woman with a CT- or MRI-confirmed left femoral-neck fracture. (A) Original AP pelvic radiograph. (B) Simulated grid or cable-shadow artifact. (C) Simulated motion-blur artifact. (D) Simulated sensor saturation or overexposure artifact.

MRI-based model shows changes over time in multiple myeloma patients

By Amerigo Allegretto

Whole-body MRI could serve as a scalable biomarker for risk stratification in multiple myeloma patients.

September 4, 2026

Multiple Myeloma 400

Heartvue.ai gets FDA nod for cardiac MRI analysis software

By AuntMinnie.com staff writers

The platform allows for viewing, post-processing, and quantitative evaluation of cardiovascular MR images.

September 3, 2026

AI cuts chest CT reporting time

Exploratory modeling suggested an approximate reduction of 0.5 full-time equivalent radiologist workload.

September 1, 2026

Example of AI-assisted pulmonary nodule detection and longitudinal volumetric assessment in a 65-year-old woman with peripheral arterial disease, a 24-pack-year smoking history, emphysema, and a family history of lung cancer. An incidental 8.5-mm right lower lobe pulmonary nodule is identified at CT angiography of the abdomen in July 2022 but does not receive follow-up. Subsequent imaging demonstrates interval growth, and CT-guided biopsy confirms stage IA lung adenocarcinoma. Contrast-enhanced axial chest CT images obtained on February 2, 2024, before robotic-assisted thoracoscopic segmentectomy, show a 12.1-mm spiculated right lower lobe pulmonary nodule. (A) Conventional contrast-enhanced axial chest CT image without AI assistance shows a 12.1-mm spiculated right lower lobe pulmonary nodule. (B) Corresponding CT image with AI-assisted pulmonary nodule detection, automated segmentation, and quantitative nodule assessment identifies a solid pulmonary nodule (nodule #1) measuring 13 × 8 (11) mm, with a volume of 739 mm3, a 45% volumetric increase compared with the previous contrast-enhanced chest CT performed on October 9, 2023 (510 mm3), and an estimated volume doubling time (VDT) of 216 days. (C) AI-generated longitudinal nodule analysis displays automated segmentation of the current (February 2, 2024) and previous (October 9, 2023) CT examinations, 3D nodule reconstruction, and quantitative volumetric assessment for longitudinal follow-up. The AI interface is displayed in the original software language (Dutch).

Page 1 of 417