AI in Healthcare: Diagnosing Diseases with Machine Learning Models
Abstract
The integration of AI in healthcare is transforming diagnostics by leveraging ML models to detect diseases from medical data. In this paper, we explore various AI models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), applied to medical imaging, genomic data, and electronic health records (EHR). We also discuss ethical implications and data privacy concerns.
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