1 filed patent in AI — before AI was a conversation.
A Patterns bootcamp concept that became a filed patent. An AI system that pre-reads scans, surfaces the most critical image in the worklist, and prioritises cases by severity — before the radiologist opens a single file.
My AI fluency didn't start with a tool — it started with a real clinical problem. This patent is evidence of thinking about AI as a design material five years before it became a common conversation.
The story
The problem
The worklist is a radiologist's entry point — a spreadsheet-like view of every assigned patient case. There's a priority indicator, but it's a single text column buried in rows. No images, no visual weight. The only way to know what a case actually needs is to open it.
At a 3–5% daily error rate across 100 cases, a radiologist could miss over 900 significant findings in a year. The problem wasn't skill or care. It was a system that made urgency easy to miss.
The solution
A machine learning algorithm pre-reads every scan in the background, surfaces the most critical image in the worklist, and ranks urgent cases higher — before the radiologist opens anything. Clicking through shows findings, confidence level, and EHR history.
After six weeks of bootcamp, we kept working. Two years later, the patent was filed.
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