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Traditionally, diagnosing diseases such as cancer involves pathologists meticulously examining tissue slides under microscopes. This process is time-consuming, labor-intensive, and susceptible to human error. The new AI model changes this paradigm by automating tissue analysis, dramatically reducing processing time from days or weeks to mere minutes while improving accuracy.
Built upon the principles of deep learning, the system employs a convolutional neural network (CNN), modeled after the human brain's visual processing capabilities. Unlike classical machine learning that relies on predefined rules, this AI continuously adapts and improves through a process called backpropagation, allowing it to learn from its mistakes and enhance its performance over time.