However, some immediate improvements of AI methods appear to be meaningful in the near future -for example improved resizing of images to allow for predictions of larger molecules as well as using training sets with multiple chemical structures. Although significant improvements could already be achieved with the novel AI based OCSR methods in a short time period, some serious problems are waiting to be solved by new approaches in the future. In most cases we are attributing those deficiencies to the limitations of the selected image learning sets that are missing for example label or caption resolution, images with multiple structure, more complex chemistries like oligomers, polymers and metal organic molecules. Thus, when separate OCSR models are trained for those modalities the chemical classifier idea as above could be implemented to integrate those different machine learning modules. Alternatively, a joint model with all these modalities could be considered.