Objective Improve the efficiency of radiology doctors on reading bone age films by sharing Tanner-Whitehouse(TW2)bone algorithm on the network. Methods The bone age algorithm web was Programmed with a Java script implementation of Tanner-Whitehouse Method and putted on a Web server based on HTTP service. The program allows to select a stage (from a set of 8 stages) for every bone (from a set of 20 bones), and also allows doctors to input some specific data such as birthday, sex. Based on TW2 reported values, selected and input data, the program computes the bone age. We assessed the bone ages on 50 left hand and wrist X-ray films of Chinese children aged 2-18 (1000 bones totally) with computer-aided method and manual method. The grading agreement of bone development and the time spent for bone age assessment were compared (U test) between the two methods. Results Computer-aided method is easy to use, better than manual method in accuracy of bone development grading, and it also has a friendly interface. For the 1000 bones assessed by TW2, the rate of the same maturity classification was 83.8%(838/1000), the rate of one-level maturity difference (+ 1 and - 1) was 14. 9% (149/1000), the rate of two-level maturity difference (+2 and -2) was 1.3% (13/1000). For the 1000 bones assessed by manual method, the rate of the same maturity classification was 65.7% (657/1000), the rate of one-level maturity difference (+ 1 and -1) was 27. 2% (272/1000), the rate of two-level maturity difference (+ 2 and -2) was 7.1% (71/1000). TW2 bone algorithm was significantly better than manual method (U =9.31595 ,P <0.01). The average time of assessing bone age by the two methods was 3-5 min and 15-20 min, and the TW2 method saved time for radiologists doctor. Conclusion Sharing TW2 bone age algorithm through the network can be quick and easy.