Research, clinical workflows, and the future of AI-assisted diagnostics — from the team building Fractify.
A radiology director tells me her hospital evaluated three AI vendors and selected the cheapest option—$50 per scan. Six months later, the system couldn't integrate with their PACS, the training required three radiologists off-schedule for two weeks, and the model performed poorl…
May 21, 2026 · 22 min read
Read moreMost hospital AI initiatives fail not from poor algorithms, but from deployment architecture decisions made months before model training begins. The choice between pure cloud, pure on-premise, or hybrid deployment shapes everything downstream: latency, compliance cost, radiologis…
May 21, 2026 · 12 min read
Read more93 million patient records breached in 2024 alone. Yet when a hospital evaluates a cloud AI radiology vendor, the security conversation often stops at "We're HIPAA-compliant." That's not a technical answer—it's a checkbox.
May 21, 2026 · 20 min read
Read moreA radiologist at a major academic hospital told me last month: "Your model is faster than our senior resident. But it takes 6 seconds to get results back into our PACS, and radiologists won't wait." That's the real problem most vendors don't talk about.
May 20, 2026 · 13 min read
Read moreYour radiology department receives an email from an AI vendor claiming 96% accuracy on chest x-rays. Your procurement team asks: accurate at what? For which pathologies? On which patient population?
May 20, 2026 · 14 min read
Read moreA 97.9% accuracy rate sounds compelling, but does it mean your radiology department will catch 98% of tumors in real-world screening? The gap between algorithmic performance and clinical impact—measured by sensitivity and specificity—determines whether an AI system becomes a trus…
May 20, 2026 · 13 min read
Read moreA 97.9% accuracy figure alone tells a radiologist almost nothing. You need to know: accuracy on what specific pathology, in what patient population, measured against which gold standard, and whether that matters more than the 0.1% of cases where AI misses the lesion your clinical…
May 19, 2026 · 12 min read
Read moreRadiologists working 10-hour shifts miss 5–10% of significant findings compared to baseline. That's not negligence—it's neuroscience. The same cognitive load that helps you catch the first pulmonary nodule blinds you to the second one in study 47. When that study contains a tensi…
May 19, 2026 · 12 min read
Read moreA 62-year-old patient arrives for a CT chest to evaluate chronic cough. The radiologist identifies mild bronchiectasis and dictates the report. Three weeks later, the primary care physician notices a small hepatic hypodensity the radiologist didn't mention. It's already grown. Th…
May 19, 2026 · 16 min read
Read moreA patient arrives at the ED with subtle dyspnea and chest pain. The radiologist reads the portable chest x-ray at 11 PM—it looks clear. Sixteen hours later, the patient decompensates. The tension pneumothorax that was present on that first film (visible in retrospect) has now cos…
May 19, 2026 · 13 min read
Read moreA 2024 analysis of 40 hospital AI imaging deployments revealed that 45% of vendors over-promised accuracy in RFPs but delivered 8–15 percentage points lower in production. The difference between a vendor selection that drives clinician adoption and one that collects dust often li…
May 19, 2026 · 14 min read
Read moreHow much does an AI radiology system actually reduce costs per study? Not the marketing department answer—the real number that justifies the capital expenditure to your CFO.
May 19, 2026 · 11 min read
Read moreEvery minute matters in emergency radiology. When a patient with a tension pneumothorax arrives at your ED, the radiologist is still reading the elbow fracture from the bay next door. When an aortic dissection presents as "back pain," it waits in the queue behind three ankle spra…
May 19, 2026 · 15 min read
Read moreFractify in practice: AI Radiology Implementation Timeline: Week-by-Week Hospital — AI-assisted radiology review Medical Imaging AI DiagnosisClinician See Fractify working on your own scans — live demo takes 15 minutes.
May 19, 2026 · 3 min read
Read moreA hospital CIO sits in a procurement meeting facing a binary choice: cloud AI radiology or on-premise deployment. The vendor's spreadsheet says cloud is cheaper. The IT team says on-premise is safer. The radiologists want both accuracy and speed. And the CFO wants certainty.
May 19, 2026 · 17 min read
Read moreA radiologist reviewed 47 studies flagged by an AI system last week—then manually overrode three critical findings the algorithm missed. That moment, repeated across hundreds of departments, reveals what actually matters: not AI accuracy alone, but whether clinicians trust it eno…
May 18, 2026 · 13 min read
Read moreWhat specific scenarios cause radiologists to miss abnormalities despite high individual competence?
May 18, 2026 · 12 min read
Read moreWhen Fractify processes a brain MRI and returns a report stamped '97.9% confidence,' what you're actually seeing is a probability score derived from our model's training on thousands of validated cases—not a guarantee. Yet that's exactly how most hospitals interpret it: as a ceil…
May 18, 2026 · 13 min read
Read moreMissed diagnosis is the most common cause of malpractice claims in radiology — accounting for 40% of all radiologist litigation in the United States. The financial impact is staggering: median settlement $360,000, with catastrophic cases exceeding $5M. But the human cost is worse…
May 18, 2026 · 13 min read
Read moreEvery radiologist knows the tension: write for the clinician reading your report, or optimise for the data systems that will eventually process it. Today, most radiology departments choose the former. A radiologist dictates findings in natural narrative prose—beautifully contextu…
May 18, 2026 · 12 min read
Read moreWhat happens when a hospital in Penang discovers a rare intracranial hemorrhage on a late-night ct scan—and the only radiologist is 300 kilometers away in Kuala Lumpur? In most of Southeast Asia, the answer is a patient waits. Sometimes for hours. Sometimes longer.
May 18, 2026 · 13 min read
Read moreRadiology is a bottleneck in global healthcare—not because the technology is immature, but because expertise is scarce. The World Health Organization estimates that 50% of countries operate with fewer than one radiologist per 100,000 people. In sub-Saharan Africa and Southeast As…
May 18, 2026 · 12 min read
Read moreA missed tension pneumothorax on a chest x-ray costs minutes—sometimes hours—in an emergency department. A subtle acute stroke on brain CT, undetected in the first review, leads to a missed thrombolytic window. These aren't hypothetical risks; they're documented clinical realitie…
May 18, 2026 · 13 min read
Read moreThe phone rings at 3 AM. Again. A motor-vehicle collision, multiple trauma scans, and you're the only radiologist available in a 50-kilometer radius. You've already read 14 studies tonight. Your pattern recognition is degrading. Studies show radiologist error rates spike after 8 …
May 18, 2026 · 14 min read
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