The summer of 2025 has been packed with advancements in diagnostic imaging, from cutting-edge AI systems improving detection rates to emerging modalities pushing the boundaries of precision and speed. Here’s a look back at the most important developments from June through August that are shaping the future of radiology.
AI Is Reshaping Radiology Workflows
Generative AI Productivity Boost
In June, Northwestern Medicine unveiled a generative AI system capable of reducing radiologist reading time by up to 40% while identifying life-threatening conditions in milliseconds. This tool not only improves workflow efficiency but also offers a potential solution to the ongoing radiologist shortage (Northwestern Medicine).
ProFound AI for Mammography
A peer-reviewed study confirmed that iCAD’s ProFound AI significantly increases cancer detection rates, boosts diagnostic accuracy, and improves workflow for mammography screenings (ITN Online).
Aidoc’s $150M Expansion
July saw AI platform Aidoc raise $150 million in funding, led by NVIDIA and other major investors, aimed at expanding its reach into more hospitals and imaging centers globally (Aidoc).
Emerging Imaging Modalities and Research
Top Content Trends
Radiology publications in July spotlighted rising interest in abbreviated breast MRI, MRI-guided ultrasound for Parkinson’s disease, and dual-energy CT for understanding Long COVID-related lung changes (Diagnostic Imaging).
Photon-Counting CT and Whole-Body MRI
Photon-counting CT continues to gain attention for its ability to deliver higher resolution at lower doses, while whole-body MRI is increasingly used for cancer staging and early detection in high-risk populations (Radiology Business).
Multimodality Imaging at ACC.25
Cardiologists and radiologists at the ACC.25 conference explored how quantitative CT, functional cardiac MRI, and AI-enhanced echocardiography can bridge the gap between diagnostics and real-time therapy planning (American College of Cardiology).
August: A Month of Imaging Breakthroughs
AI-Native Imaging Viewers
Tech company New Lantern launched AI-native viewer modes for mammography and PET/CT, delivering sub-second load times and workflow automation (TMCNet).
Digital Radiography Gets Smarter
Advances in digital radiography are enhancing precision and speed, with newer systems providing better image quality at lower radiation doses (USA News).
ProCUSNet Ultrasound AI
Researchers at Stanford developed ProCUSNet, an AI tool that improved lesion detection by 44% and caught 82% of clinically significant prostate cancers on ultrasound—outperforming human interpretation (Becker’s Hospital Review).
DiffUS for Intraoperative Imaging
A new AI-based technique called DiffUS can create realistic ultrasound images from 3D MRI data, aiding in surgical planning and intraoperative navigation (arXiv).
Next-Gen PET Tracer
A novel PET tracer, Ga-68 Trivehexin, has shown promise in more accurately detecting breast cancer lesions and fibrotic lung tissue compared to traditional tracers (Journal of Nuclear Medicine).
Looking Ahead
The pace of innovation in diagnostic imaging this summer reinforces a clear trend: AI is no longer just an assistive tool—it’s becoming deeply embedded in clinical workflows. Coupled with emerging modalities like photon-counting CT and new PET tracers, radiology is entering an era of higher precision, speed, and accessibility.