In this review, we discuss the fundamental machinery of AI algorithms (deep neural network and evolutionary algorithms) that can potentially have significant impact resolving problems related to broader neurodevelopmental disorders. We have discussed in depth the key unresolved issues in NDD and how AI can impact by modeling solutions related to new gene discovery, gene-gene interactions, phenotypic-genotypic heterogeneity, and drug discovery. We have discussed how artificial intelligence alongside with genomics can be at the center of precision medicine solutions for neurodevelopmental disorders. This paper discussed the application of AI within the context of neurodevelopmental disorders complexities. We have pointed out what is feasible for AI to achieve and the challenges that is far too complex to implement. We have portrait some scenarios where integrating AI with other emerging cutting edge technologies (i.e. CRISPR/Cas9, brain organoid, antisense therapy) might create massive impact in neurodevelopmental disorders diagnosis and therapeutics.
Clinical NLP is critical to a successful learning healthcare system, but development and deployment of such systems are no mean feats. We invite you to join us in addressing some common barriers and paving the groundwork for sustainable and robust clinical NLP development and usage.