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AI image analysis boosts early disease detection in medicine, showing promise in cancer and diabetic retinopathy diagnosis.
A new study reveals that AI-powered image analysis is improving medical diagnostics by detecting early signs of diseases like cancer and diabetic retinopathy with greater accuracy than traditional methods.
Researchers trained machine learning models on millions of medical images, enabling them to identify subtle patterns invisible to the human eye.
The technology is now being tested in clinical settings across the U.S., with early results showing faster diagnoses and reduced diagnostic errors.
Experts emphasize the need for rigorous oversight to ensure patient privacy and algorithmic fairness.
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El análisis de imágenes de IA mejora la detección temprana de enfermedades en medicina, mostrando una promesa en el diagnóstico de cáncer y retinopatía diabética.