Plenary Speech

This talk highlights the transformative role of AI in advancing medical imaging and molecular diagnostics across neuro-oncology, neurology, and oncology. The session is divided into two complementary domains. Dr Rajat will explore AI applications in positron emission tomography (PET), with emphasis on: (1) data-driven modelling of dynamic tracer kinetics for improved quantification, and (2) comparative analyses of radiomics-based versus foundation model derived explainable features for cancer prognosis and survival prediction. The talk will further outline the potential of large language models (LLM) to bridge these imaging methodologies with molecular tissue profiling, including histopathology and spatial transcriptomics. This unified, AI-powered framework aims to support precision diagnostics and personalized therapeutics.