AI Sees What Radiologists Miss: PANDA Detects Pancreatic Cancer at 92.9% Sensitivity
New study shows AI model identifies pancreatic adenocarcinoma on routine non-contrast CT scans—a major breakthrough for early diagnosis
🤖 This is exactly where AI has a big role in medicine
👁️ seeing what no radiologist can see and, most importantly, life-saving 👍🏻
This is a really thoughtful take and the clinical promise here is huge: moving lung cancer screening beyond “size + growth” heuristics (e.g., Lung-RADS) toward nodule-level malignancy probability could meaningfully shift us from delayed recognition to earlier, more actionable detection. The part I’d love to see next (before we declare “AI > radiologists” in the real world): prospective deployment that quantifies downstream outcomes; overdiagnosis vs earlier stage capture, how often it changes management, and the patient-facing harms (extra imaging, biopsies, anxiety), plus calibration across scanners/sites and performance across diverse populations. If those pieces land, this becomes less about replacing radiologists and more about building a safer, more consistent “second reader” that helps triage indeterminate nodules and reduces missed early cancers.