Description

Natural Language Processing (NLP) and Computer Vision hold immense potential in transforming paediatric healthcare by enabling efficient analysis of clinical data. This session will delve into the research aspects of NLP pipelines tailored for paediatric healthcare, exploring how advanced AI techniques can process unstructured medical texts and images to support diagnosis, treatment planning, and research. We will highlight existing challenges, including limited datasets, domain-specific language complexities, and integration with multimodal data, offering insights into research gaps that undergraduates can address.