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Researchers train AI to diagnose lung diseases with 96.57% accuracy

Researchers from the University of Technology Sydney (UTS) have developed an AI model capable of diagnosing lung diseases with an impressive accuracy rate of 96.57%. This AI system, detailed in a study published in the journal Frontiers in Medicine, was trained using a dataset of 1,000 chest X-ray images from the PadChest dataset, which includes various lung conditions like pneumonia, tuberculosis, and lung cancer. The model not only identifies the presence of diseases but also distinguishes between different types of lung conditions, offering a significant advancement in medical diagnostics. This technology could potentially reduce diagnostic errors, speed up the diagnostic process, and make high-quality medical imaging analysis more accessible, especially in regions with limited medical resources. The AI's performance was validated through rigorous testing, showcasing its potential to transform how lung diseases are diagnosed in clinical settings.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/health/other/researchers-train-ai-to-diagnose-lung-diseases-with-96-57-accuracy/ar-AA1xNXG4 ]