Research, clinical workflows, and the future of AI-assisted diagnostics — from the team building Fractify.
Your hospital's PACS has been running for eight years. Radiology staff know exactly where to click. Then your IT director brings in an AI engine—and suddenly radiologists are toggle-switching between systems, manually copying study IDs, and managing separate dashboards. This isn'…
May 31, 2026 · 14 min read
Read moreThe largest AI radiology vendors have the marketing budgets and brand names. But across 12 hospital deployments I've advised on this year, the most satisfied radiologists and IT directors are running smaller vendors' systems.
May 30, 2026 · 15 min read
Read moreYour hospital's radiology team has 47 minutes per CT exam—not enough for careful review of every slice. You're evaluating two AI platforms: Fractify and Aidoc. But procurement teams rarely compare them on the metrics that actually affect your deployment timeline, staff training, …
May 30, 2026 · 12 min read
Read moreWhy do radiologists trust one AI model and dismiss another—even when both detect tumors at 97%+ accuracy?
May 30, 2026 · 13 min read
Read moreA radiologist at a tertiary hospital in Kuala Lumpur sat across from me with a clinical question that became the impetus for this article: "I trust your system's chest x-ray detections—97.7% fracture accuracy is strong—but I cannot recommend it to my team until I see why it marke…
May 29, 2026 · 13 min read
Read moreA 45-year-old patient presents with cognitive decline. The referring neurologist needs white matter quantification across three annual MRI exams to track progression. A radiologist manually segments lesions in dicom viewer software, spending 40 minutes per study—three hours for t…
May 29, 2026 · 12 min read
Read moreDoes an AI system detect brain tumors better than a radiologist? That's the question every hospital's radiology director asks before implementing a decision-support tool. The answer: Fractify's brain MRI AI achieves 97.9% sensitivity on prospective validation datasets, which outp…
May 29, 2026 · 11 min read
Read moreBrain hemorrhage kills or permanently disables someone every 11 seconds globally. In acute stroke centers, detecting hemorrhage within the first hour determines whether thrombolytics are safe to administer—a decision that can't wait for human radiologist review at 3 AM on a Frida…
May 28, 2026 · 13 min read
Read more68-year-old with acute dyspnea arrives at your ED. Renal function is borderline. You order a stat non-contrast CT. Can AI read it reliably without contrast? Yes—and Fractify detects 18+ critical pathologies in chest CT without waiting for an IV.
May 28, 2026 · 11 min read
Read moreYour hospital screens 500 patients per year for lung cancer. Of those, 12% will have nodules detected. How many are you confident you didn't miss? How many unnecessary biopsies are you performing? Those two questions define your screening program's success—not just detection rate…
May 28, 2026 · 12 min read
Read moreEvery year, millions of low-dose ct scans identify incidental lung nodules. Most are benign. A few are not. The clinical question — Which ones need action, and when? — determines whether a patient experiences 3 months of anxiety and repeat imaging, or gets the care they actually …
May 28, 2026 · 12 min read
Read moreYour IT director sits across from a radiology vendor who promises 97.9% brain tumor detection accuracy. But then IT asks: How does your system talk to our EHR? What FHIR resources do you use? Can you map to our HL7 worklist? The vendor stumbles. This is the moment most AI radiolo…
May 28, 2026 · 11 min read
Read moreYour radiologists are running two separate operations: ordering systems feeding diagnostic work, AI systems generating findings, and a person manually typing results back into the RIS. That person costs you $80,000/year and adds 45–60 minutes to every report turnaround. RIS integ…
May 28, 2026 · 13 min read
Read moreYou have 127 studies in your PACS this morning. Your radiology tech manually enters patient name, age, indication, and modality into the worklist for each one. By lunchtime, she's made 4-5 errors—a transposed digit in an MRN, a misspelled indication, a study assigned to the wrong…
May 28, 2026 · 15 min read
Read moreA vendor tells you their AI detects intracranial hemorrhage at 99.2% accuracy. You deploy it in your ER. Three months later, your radiologists report it misses subtle subdural bleeds on elderly patients with prior head trauma. What happened?
May 28, 2026 · 14 min read
Read moreYour hospital's AI radiology system crashed at 2 AM on a Saturday. 847 chest x-rays are queued. The vendor's support hotline routes you to voicemail. This scenario isn't hypothetical—it's why SLA specifications matter more than accuracy claims when choosing a radiology ai partner…
May 27, 2026 · 15 min read
Read moreWhy do radiologists resist AI systems they intellectually understand are accurate?
May 26, 2026 · 15 min read
Read moreWhen I talk to hospital IT directors who've just completed an AI radiology vendor selection, their most common regret isn't about the vendor they chose—it's about the process that got them there. Most teams inherited a spreadsheet with 12 features and 8 vendors, scored each cell …
May 25, 2026 · 17 min read
Read moreRadiologist fatigue during night shifts increases diagnostic error rates by up to 40% compared to daytime work. That's not hypothesis—it's documented in peer-reviewed radiology literature, where circadian disruption degrades visual attention, pattern recognition, and decision spe…
May 24, 2026 · 16 min read
Read moreA trauma surgeon needs to know if a patient's pelvis is fractured—right now. Fractify detects pelvic fractures at 97.7% accuracy while radiologists are managing six other patients. That gap between clinical urgency and human availability is where trauma bay AI radiology lives.
May 24, 2026 · 13 min read
Read moreWhy do most AI radiology deployments stall between week 4 and week 8? Not because the technology fails—because nobody mapped the human transition. This roadmap solves that.
May 23, 2026 · 19 min read
Read moreTime is the single constraint that matters in acute stroke diagnosis. The American Heart Association's "door-to-needle" standard for thrombolytic intervention is 60 minutes; every minute of delay reduces thrombolysis eligibility and increases mortality risk. In my experience depl…
May 22, 2026 · 12 min read
Read moreYour hospital board approves $2.4M for an AI radiology system. The CFO asks: when does this pay for itself? The answer depends less on the technology than on how you implement it—and what you measure.
May 22, 2026 · 13 min read
Read moreEvery hospital CIO knows the moment: you walk into the finance committee with an AI proposal, and the CFO asks, "How much does this cost, and how much money will we actually make back?"
May 22, 2026 · 12 min read
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