The Radiological.ai blog
AI radiology, written for the read
Plain-language writing on AI in radiology: how decision support flags suspected findings, how worklist triage surfaces urgent studies first, what structured reporting saves on the write-up, and how to lighten the read without burning out the team. No hype, just what holds up on a real shift.
PowerScribe Smart Impression, Ambient Mode and PowerScribe One AI: What Each Feature Actually Does
Microsoft names nine AI capabilities in PowerScribe One. Eight of them work on text or speech, and only one touches the images, through third-party services. What Smart Impression drafts, how to trigger it, the regeneration trap in Automatic mode, and where impression drafting stops helping.
Radiology Report Templates: Who Owns Them When You Switch?
You own the clinical content of your report templates. You rarely own the format, and the format decides whether a migration takes an afternoon or a quarter. What actually travels when you change reporting vendors, what silently does not, and the four contract terms to get in writing before you sign.
PowerScribe 360 Headset and Microphone Compatibility Guide
Microsoft names four supported dictation devices for PowerScribe One, and none of them is a headset. What works, what carries over when you migrate off PowerScribe 360, how to fix a mic PowerScribe will not recognize, and what the hardware really costs.
PowerScribe vs Dragon Copilot vs Dragon Medical One
Microsoft renamed and merged the Nuance speech line twice in two years, and radiology groups are being quoted for products that overlap. What each one actually is, which the reading room needs, and what changes for a PowerScribe 360 site in 2026.
FDA Cleared Radiology AI: What 510(k) Really Tells You
Most radiology AI is FDA cleared rather than approved, and the two are not the same claim. What 510(k) covers, how CADe, CADx and CADt differ, how to verify a vendor claim in the FDA database, and what clearance never promises about performance at your site.
Radiology Peer Review vs Peer Learning: What Changed
Score-based peer review is giving way to peer learning across American radiology. What each model actually does, why the shift happened, what accreditation still requires, and the case selection problem neither model solves.
Missed Fractures on X-Ray and Why They Happen
Which fractures are missed most often on radiographs, the conditions that produce the miss, what the United States malpractice data actually says, and the process changes and second-read tools that reduce the rate.
How Does AI Integrate With PACS? DICOM, HL7 and Worklists
How radiology AI connects to your PACS over DICOM, the three routing patterns, where results come back, the difference between a modality worklist and a radiology worklist, and what the integration asks of your own team.
What Is PowerScribe 360? A Plain Guide for Radiology Groups
What PowerScribe 360 is, how the dictation and reporting workflow works, how it differs from PowerScribe One and Dragon, and why the August 2026 end of life makes this the moment to understand what you actually own.
PowerScribe 360 Migration Checklist and 90 Day Plan
A phase by phase PowerScribe 360 migration checklist: the end of life dates, what to inventory before you take a vendor quote, the interface and template work, and how to pilot and cut over without a bad week.
Radiology Report Turnaround Time: Benchmarks and Fixes
Radiology report turnaround time benchmarks by setting, how to calculate the metric properly, where the minutes actually go, and the five levers that move the number without asking anyone to read faster.
How AI Stroke Triage Works, and What to Evaluate Before You Buy
How AI stroke triage works: how software flags suspected LVO and intracranial hemorrhage on head CT and CTA, moves the study up the worklist and alerts the stroke team, plus the questions to ask before you buy.
PowerScribe 360 End of Life: What Radiology Groups Should Do
Microsoft is retiring PowerScribe 360 and ending renewal and maintenance in August 2026, directing customers to PowerScribe One on a subscription. What is changing, what your options are, and what to evaluate before you sign.
How Much Does Radiology AI Cost? A Practical Breakdown
How much does radiology AI cost? The pricing models, what actually drives the number, and the six questions that get a real total out of a vendor instead of a sticker price.
How to Implement AI in a Radiology Workflow: A Practical Guide
How to implement AI in a radiology workflow: the PACS and RIS integration, the shadow period that earns radiologist trust, picking a narrow first use case, and deciding what success means before you start.
Will AI Replace Radiologists? The Honest Answer Is No
Will AI replace radiologists? No. A clear look at why AI augments the read instead, removing drafting, measuring and queue-sorting drudgery so radiologists focus on judgment.
AI Radiology Companies in 2026: The Landscape Explained
AI radiology companies in 2026: how the market splits into triage, finding flags, reporting and unified assistants, and how to read the landscape as a buyer.
How to Choose AI Radiology Software: A Practical Process
How to choose AI radiology software without a bake-off you cannot staff: name the problem first, judge the features that matter, ask the questions that reveal a real fit, and run a trial that proves something.
How Does AI Read X-rays? A Plain-Language Explainer
How does AI read X-rays and other medical images? A clear explainer of how models flag suspected findings on imaging and why the radiologist always signs.
Reduce Radiologist Burnout: Practical Ways to Lighten the Read
Reduce radiologist burnout with practical steps: cut the drudgery of drafting, measuring and queue-sorting so your team reads more sustainably each shift.
What Is AI Triage in Radiology? How Urgent Studies Reach the Top
What is AI triage in radiology? How software reorders the reading queue by likely urgency instead of arrival time, how it differs from detection, what computer-aided triage means, and what to check before you deploy it.
Radiology AI Vendor Evaluation: The Questions to Ask Before You Sign
A radiology AI vendor evaluation checklist: the ten questions that pin down scope, integration, fully loaded cost, regulatory reach, pilot design and data terms before you commit to a contract.
AI in Lung Cancer Screening: How Nodule Software Fits the Workflow
How AI fits a lung cancer screening program: flagging candidate nodules, placing measurements, comparing against priors and drafting the structured report, while the radiologist assigns the category and signs.
Ready to see it on a study? Explore the AI radiology assistant and worklist prioritization, or compare plans.
Reading is good. Seeing the assistant read is better.
Run the assistant on a sample study and watch the worklist re-prioritize, a region get flagged for review, and a structured report draft line by line. You review, edit and sign.
X-ray, CT & MRI · Flag, triage, draft · You review & sign
Radiological.ai is a workflow and decision-support tool for qualified clinicians. It does not provide a diagnosis and is not a substitute for professional medical judgment.