3 Medical Imaging Datasets for Diagnostic AI | Dataset Spotlight EP 6

Diagnostic imaging AI has almost no margin for error. In this episode of Dataset Spotlight, we look at three medical imaging datasets built for teams training AI on CT scans, dental X-rays, and ultrasounds. 00:00 Intro 00:23 Medical Imaging - Longitudinal CT Scans 00:50 Medical Imaging - Dental X-ray 01:11 Medical Imaging - Ultrasounds 01:42 Where to find these datasets 🩻 Medical Imaging - Longitudinal CT Scans 6,000 studies from ~2,000 patients, three scans each on average, covering liver, lungs, pancreas, kidney, prostate, and brain. DICOM format with clinical reports, fully anonymized. 👉 https://defined.ai/datasets/medical-imaging-longitudinal-ct-scans 🦷 Medical Imaging - Dental X-ray 10,000 studies from 10,000 individuals, acquired via Cone Beam CT (CBCT) for 3D volumetric imaging. Anonymized and available in DICOM. 👉 https://defined.ai/datasets/medical-imaging-dental-x-ray 🔊 Medical Imaging - Ultrasounds 40,000 DICOM studies with associated reports and analysis, covering cardiology, obstetrics, and emergency medicine use cases. 👉 https://defined.ai/datasets/medical-imaging-ultrasounds All three datasets are anonymized, clinical-grade, and sourced from real imaging procedures, built for teams training diagnostic AI models. Explore them on the Defined.ai Marketplace. #MedicalImagingAI #TrainingData #HealthcareAI #DICOM #DiagnosticAI #DefinedAI