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10 articles
Over a billion people worldwide suffer from fatty liver disease, a condition that can lead to severe health complications. Researchers are now using AI tools to detect the disease early, potentially saving lives.
Learn how to build a basic AI model that analyzes chest X-rays and determines confidence levels in its diagnoses, demonstrating why AI systems must know when to defer to human expertise.
Learn how AI body scans work and why they're important for early disease detection. This explainer covers the basics of how artificial intelligence is being used in modern healthcare.
Learn how to process ultrasound images using Python and computer vision techniques, similar to those used in advanced medical imaging systems like Midjourney's scanner.
Midjourney, known for its AI image generator, has announced a radical pivot to medical imaging with a futuristic water-based ultrasound scanner. Industry experts are skeptical about the device's practicality and safety, questioning whether it can deliver the diagnostic accuracy needed for medical use.
This article explains how AI-powered medical scanners work and why they represent a major advancement in healthcare technology. It shows how artificial intelligence is moving beyond simple image generation to solve real medical problems.
Learn to build an end-to-end 3D medical image segmentation pipeline using MONAI and UNet for spleen segmentation on CT scans.
Meta's JEPA architecture outperforms traditional AI methods in analyzing noisy cardiac ultrasound images, offering promising advancements for medical diagnostics.
Learn how artificial intelligence is helping doctors in rural Australia detect heart problems earlier and more accurately using medical imaging technology.
Cedars-Sinai's EchoPrime AI system outperforms existing models in interpreting echocardiograms and generating clinical reports, with its code now publicly available.
