Deep neural networks (DNNs) have transformative applications in healthcare, from diagnostics to personalized treatment plans. They excel in medical imaging, detecting conditions like cancer, heart disease, and diabetic retinopathy with high accuracy.
For example, CNNs are used to analyze X-rays and MRI scans, while RNNs handle time-series data for patient monitoring. DNNs also power drug discovery by identifying potential compounds through pattern recognition in chemical data.
By enabling faster and more accurate diagnoses, DNNs improve patient outcomes and reduce healthcare costs, making them invaluable tools in modern medicine.