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Breakthrough AI Model Achieves Human-Level Accuracy in Medical Diagnosis

Summary

Researchers at MIT unveiled an AI system today that matches human doctors in diagnosing complex diseases from medical images. The model achieved 94.7% accuracy in identifying early

Researchers at MIT unveiled an AI system today that matches human doctors in diagnosing complex diseases from medical images. The model achieved 94.7% accuracy in identifying early-stage cancers across multiple datasets, according to a study published in Nature. This breakthrough could accelerate diagnostics and reduce errors in healthcare. Lead scientist Dr. Maria Chen said the AI’s ability to learn from diverse data sets marks a significant advancement in machine learning applications. Bloomberg reports that several hospitals are already piloting the technology for clinical use.
Feb 15
Breakthrough AI Model Achieves Human-Level Accuracy in Medical Diagnosis

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