Aim: To enhance accuracy in predicting bone age from x-ray image to that of chronological ages using novel Convolutional Neural Network technique in comparison with Support Vector Machine. Materials and methods: Classification is performed by a convolutional neural network (N=10) over a Support vector machine (N=10). The sample size is calculated using Gpower with pretest power 0.8 as an alpha 0.2. Result: Mean accuracy of convolutional neural network (82.36%) is high compared to support vector machines (74.84%). The significance value for accuracy and loss is 0.028 (p<0.05). Conclusion: The mean accuracy of the bone age prediction system in convolutional neural networks is better than the support vector machine.