Imaging Informatics

From silos to systems: Redefining radiology through network integration
By Charles Morris
In a new column, Charles Morris of Agfa HealthCare makes the case for imaging without boundaries.
February 26, 2026
Data Network Hand
LLM use rising for editing radiology research abstracts
By Amerigo Allegretto
More radiology researchers are using ChatGPT or other large language models (LLMs) to modify text in their research abstracts.
February 25, 2026
Ai Abstract Researcher (2)
AI support leads to more cancers found on DBT
By Amerigo Allegretto
AI assistance for interpreting screening DBT exams led to sharp increases in finding invasive and lobular cancers.
February 23, 2026
Breast Dbt 400
AI accurately flags follow-up imaging recommendations
By Will Morton
An AI agent significantly improved the identification of missed diagnostic opportunities in radiologist notes.
February 19, 2026
Ai Hand
Using GPT‑4o with CT exams helps diagnose ovarian cancer earlier
By Kate Madden Yee
Early detection of ovarian cancer is a persistent challenge, with more than half still diagnosed at metastatic stages.
February 18, 2026
Ovarian Cancer Cells Adobe Justlight
Cardiac MRI-based ML model predicts MACE risk for STEMI patients
By Amerigo Allegretto
A machine-learning (ML) model based on cardiac MRI and clinical parameters performed well in a study of STEMI patients.
February 17, 2026
Cardiac Mri Adobe Samunella
Could AI scoring help with managing DCIS?
By Amerigo Allegretto
An AI model showed associations with recurrence after DCIS surgery and performed comparably to established clinical risk models.
February 11, 2026
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Task-specific LLMs more accurate than general ones for identifying ILNs
By Kate Madden Yee
AI-based tools that "automatically identify and flag actionable findings can optimize patient tracking," researchers noted.
February 5, 2026
Lung Ct Images
MIT team reports success from wearable breast ultrasound device
By Amerigo Allegretto
Researchers have developed a wearable breast ultrasound device that successfully imaged breast cysts in a patient.
February 4, 2026
A new imaging system developed by MIT researchers consists of a small ultrasound probe (left) attached to an acquisition and processing module that is a little larger than a smartphone.
Structured reporting, AI improve chest x-ray workflows
By Will Morton
Structured reporting and AI tools have the potential to transform workflows.
February 3, 2026
2026 02 03 Structured Reporting Thumbnail
Poll addresses ergonomics, workstation configurations for radiologists
By Liz Carey
Diagnostic imaging workstation configuration data may signal opportunities for improvement and standardization.
February 2, 2026
Ergonomics And Auntminnie
AI improves radiologists' performance for identifying lung cancer on CT
By Kate Madden Yee
The findings "support integrating AI into chest CT workflows to enhance early-stage lung cancer detection," researchers noted.
January 30, 2026
Cancer Lung
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