<p>In this talk, we will delve into the remarkable advancements in Natural Language Processing (NLP) and their transformative potential in the realm of clinical data analysis. The field of medical imaging has seen tremendous growth, and one of the key challenges lies in translating radiomics features into actionable insights. Firstly, we will explore a groundbreaking approach that addresses this challenge by automatically generating Lung-RADS reports from low-dose lung CT scans. By leveraging the power of deep learning to construct a multi-objective framework, we have advanced the extraction of essential information to aid in the accurate diagnosis of lung abnormalities. Moving beyond medical imaging, pathology reports play a crucial role in guiding treatment decisions, particularly in lung cancer cases. We will investigate how Generative Pre-trained Transformers (GPT) can extract vital features from pathology reports, enabling the identification of key indicators for effective lung cancer treatment. By harnessing the capabilities of GPT, we unlock a wealth of information buried within textual data, enhancing the precision of personalized therapies.</p>

<p>Moreover, advanced lung cancer requires comprehensive decision support systems. Deep learning-based techniques offer immense potential in this domain by automating the extraction of key features from pathology reports. By integrating these extracted features into a decision support system, we empower clinicians with valuable insights, aiding in the development of tailored treatment plans and ultimately improving patient outcomes. Throughout this presentation, we will witness how NLP, combined with deep learning methodologies, revolutionizes the analysis of clinical data. By bridging the gap between unstructured text and actionable knowledge, we unlock the full potential of clinical data and propel us into an era where diagnoses are more accurate, treatments are more personalized, and patient care is optimized.</p>

<p>Together, let us embark on a journey that demonstrates how NLP is shaping the future of healthcare, forging a path towards a world where the integration of technology and medicine empowers us to extend the potential of clinical data like never before. The future is indeed here, and it is through the fusion of NLP and clinical data that we shall explore its boundless possibilities.</p>