How AI is Reshaping Healthcare: Predicting Disease with Data

AI is improving healthcare by diagnosing diseases and recommending treatments.

Deep learning models can analyze medical images to detect anomalies.

Example: Using CNNs for Medical Image Classification

import tensorflow as tf

model = tf.keras.models.Sequential([
    tf.keras.layers.Conv2D(32, (3,3), activation='relu', input_shape=(128, 128, 3)),
    tf.keras.layers.MaxPooling2D(2,2),
    tf.keras.layers.Flatten(),
    tf.keras.layers.Dense(128, activation='relu'),
    tf.keras.layers.Dense(1, activation='sigmoid')
])

model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])

This builds a simple Convolutional Neural Network (CNN) for image classification.