Imaging Informatics

AI detects lung cancer nodules well but shows low specificity
By Kate Madden Yee
The finding suggests the models offer “a potential role as adjunctive tools for ruling out malignancy” rather than classifying it.
June 4, 2026
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Philips Interactive Multimedia Reporting: Where Insight Meets Impact
By Philips Healthcare Informatics
Radiology is no longer just about what you see, it’s about how effectively you communicate it.
June 2, 2026
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Radiologists estimate time savings with advanced radiology reports
By Liz Carey
Survey-driven insights into the impact of interactive multimedia reporting, plus practical tips to take forward when planning to implement a system.
June 2, 2026
David Vining Md Anderson Longitudinal Record Imr 2026
Interactive multimedia radiology reporting improves physician consults
By Liz Carey
Radiologists and referring physicians who are successfully using IMR advanced radiology reporting share their perspectives.
June 2, 2026
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AI approach could improve DBT efficiency
By Amerigo Allegretto
AI-based slab reconstruction may help improve screening DBT workflows while not compromising on image quality.
June 2, 2026
Slab reconstruction provides visualization of subtle architectural distortion similar to that of standard 1-mm slices in a false-positive screening exam. Images include breast exams from a 45-year-old woman who underwent screening mammography. Craniocaudal tomosynthesis images with (A) 1-mm slices and (B) 6-mm slab reconstructions show an area of architectural distortion in the subareolar region of the left breast (arrow). (C) Targeted ultrasound imaging shows a corresponding irregular hypoechoic mass (arrow), which was subsequently biopsied. Pathologic examination revealed a sclerosing papillary lesion.
AIUM: Ultrasound-based AI model could help measure fetal lung maturity
By Amerigo Allegretto
An ultrasound-based AI model showed strong performance in assessing fetal lung maturity.
May 30, 2026
Nicole Adelson from Hofstra University presents findings at AIUM 2026 showing how an ultrasound-based AI model could help measure lung maturity in developing fetuses.
AIUM: Could AI help improve eFAST learning?
By Amerigo Allegretto
ChatGPT could assist novice learners training in eFAST exams, research presented at AIUM 2026 suggests.
May 29, 2026
Nardine Francis from the California University of Science and Medicine presents research at AIUM 2026 showing how ChatGPT could help novice learners in eFAST training.
AIUM: AI has evolving role in ultrasound
By Amerigo Allegretto
Dr. Alison Noble gave a keynote speech at AIUM 2026, showing ways that AI approaches are improving ultrasound scanning and workloads.
May 28, 2026
Alison Noble, PhD, from the University of Oxford shares work that she and colleagues have been working on toward AI in ultrasound at AIUM 2026.
AI diagnostic aid helps novice MRI readers, but experts not so much
By Kate Madden Yee
The findings point to where AI decision support delivers the most clinical value.
May 26, 2026
Chat Gpt 3
MRI-specific AI algorithm reads cardiac scans with up to 99% accuracy
By Kate Madden Yee
The algorithm beat existing general-purpose AI models by up to 35%, researchers reported.
May 21, 2026
Cardiac Mri Adobe Samunella
Podcast: The PACSMan Pontificates, Episode 2 -- RFPs
By Michael J. Cannavo
Are RFPs still needed for buying a PACS? Michael J. Cannavo, aka the PACSMan, tackles this question in episode 2 of The PACSMan Pontificates podcast series.
May 20, 2026
Pacsman Pontification
Human-AI collaboration beats AI alone for identifying PE
By Kate Madden Yee
Study findings highlight the continued central role of radiologists for this indication.
May 20, 2026
Case example of a false-negative AI result. An 85-year-old female presented to the emergency department with dyspnea. Axial 0.625-mm from CT pulmonary angiography examination with contrast (CTPA) images demonstrate a thin, linear right-sided filling defect extending from the right interlobar pulmonary artery (A and B, red arrows) into the right middle lobar artery (B, yellow arrow), consistent with acute pulmonary embolism (PE). The finding was described in the radiology report; however, the AI result was negative for PE. Adjudication was consistent with acute PE.
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