Radiology Staff Sue Hospital over Alleged Cancer Cluster
« Cancer cluster » among radiology professionals …. Troubling … « A hospital is being sued by one of its former rad techs, who alleges that the organization’s lack of proper safety protocols is behind a cancer “cluster” among staff. » 👇 @RadiologyBiz https://t.co/M7oeT20ylo
AI's First Use Turns Skeptical Radiologists Into Advocates
In healthcare, you only understand how game-changing AI is once you use it. What strikes me most is how reliably opinions flip. The skeptic radiologist goes from “I don’t need this” to “I can’t imagine working without it.” Not occasionally. Almost every time.
AI Becomes Essential; Non‑Adopters Lose Doctors
Very soon, in radiology and medical centers using AI, you will hear: “Do you remember when we didn’t have it ? How did we manage ?” Institutions without AI won’t just lag, they’ll struggle to attract and retain physicians.

AI Expands From Radiology to Entire Healthcare Operations
AI in healthcare started with radiology, from 0 to mainstream in 5 years. But something bigger is happening. AI is now transforming patient pathways, workflows, and healthcare operations beyond image analysis. Join our masterclass with Jan Beger & @HLTHEVENT next week. Limited...
AI Halves MRI Scan Time with Synthetic Image Interpolation
A new AI software that essentially fills in the blanks between image slices with synthetic images, enables 2x MRI acceleration ! 👇 “Scans of the abdomen that previously took around 23 minutes now are finished within just nine minutes.” 👏...
Imaging Volumes Keep Rising, Revealing Unmet Clinical Demand
Interesting perspective. 👇 Real-world practice suggests the opposite: imaging volumes keep increasing, not decreasing. Although there is certainly a lot of unnecessary imaging performed, the fact that it is still carried out indicates that it fulfills a need beyond appropriateness use...

Gleamer AI Outperforms Clinical Validation in Real-World Use
An AI delivering more in the messy real world, than on the (already outstanding) original clinical validation publication … that’s the power of @gleamer_ai , now part of @RadNetImaging DeepHealth 🚀 #radiology #AI @BIR_News 2026 London https://t.co/PhFjveXqWQ
Philips Predicts Autonomous, Self‑driving MRI Is Imminent
Philips said it sees a near future where autonomous or “self-driving MRI” potentially becomes reality. https://t.co/LEH8CIIDgj

MedTech Scaling Stalls: Adoption Beats Innovation
@Heartflow provides non-invasive coronary analysis from CT scans using AI. Founded 2010. IPO 2025. 600+ publications. ~1,450 US sites. Approx. 2.5 clients per paper. Medtech doesn’t scale like tech. Adoption is the hard part. https://t.co/dJElVTW4EA
Reengineering High-Volume Imaging Workflows with Gleamer AI
« @RadNetImaging CEO Howard Berger, MD, said it has become increasingly critical to #reengineer high-volume #workflows. This is particularly pertinent in X-ray, ultrasound and mammography, where @gleamer_ai holds expertise. » 👌 🚀 https://t.co/wSqNyHlkXj
AI to Autonomously Report X‑Rays Within Five Years
AI will likely report most X-rays near-autonomously within 3–5 years. We may soon have AI generating reports instantly… while radiologists still wait for the RIS loading wheel to open them.
LinkedIn Message Sparked $270M Exit Journey
I just published Gleamer’s $270M Acquisition, Investing as a Radiologist, and My First Exit — It All Started with a LinkedIn message ... https://t.co/uwm9lCUsdm
MRI Offers Low Yield for Isolated Dizziness without Neuro Signs
What is the diagnostic yield of MRI in adult emergency patients with dizziness or vertigo? While MRI is efficient for detecting central causes of dizziness, its yield is low in cases of isolated dizziness without neurological signs. 👇 https://t.co/170qBbHrq7
Radiology's AI Adoption Outpaces Every ECR Expectation
Every year while reviewing the #ECR program, I think: “This year won’t be that different.” Every year, I’m wrong. Radiology absorbs AI at impressive speed. Our conferences now move at the speed of tech. 🚀 #ECR2026 #radiology #AI @myESR

AI Integration Speeds Knee MRI Reporting by 13.4%
In overstretched radiology departments, improving diagnostic accuracy with AI is not enough. We also need measurable efficiency gains. This study from my colleagues at 3R shows the way: +13.4% reporting speed for knee MRI with full AI integration and auto-filled reports. 🚀...