The Franklin will be holding a seminar given by Bartek Papiez on Thursday the 14th November from 10:30-11:30.
To watch the seminar online, please sign up on the Eventbrite.
Further details on this seminar are included below.
Talk title:
Beyond Beautiful Images: AI and Multimodal Data in Healthcare
Abstract:
In recent years, artificial intelligence (AI) has evolved from generating stunning artwork and immersive virtual realities to becoming a transformative force in healthcare, particularly in disease detection and monitoring. While AI’s ability to create visually appealing images often takes center stage, its true potential lies in diagnosing, predicting, and assessing diseases—transforming how we approach healthcare.
In this talk, I will present several examples of AI-driven multimodal data analysis in healthcare, with a focus on its application in the assessment of spinal diseases and cardiopulmonary conditions. Additionally, I will demonstrate how AI, when integrated with diverse data sources, is driving new discoveries, including the creation of the first digital atlas of foetal brain development. These examples illustrate AI’s power to analyse complex datasets and uncover new insights into human health.
Biography:
At the Big Data Institute, Bartek has established an independent research group that focuses on medical imaging and machine learning. His work focusses on new, multidisciplinary research projects that integrate imaging and non-imaging modalities, driving the development of innovative image analysis and machine learning algorithms. Notably, his research projects encompass both the theoretical foundations of AI/ML algorithms (such as image quality, image segmentation, or image registration), and applied AI/ML for longitudinal disease monitoring (using imaging, patient records, and Natural Language Processing), identification of disease therapeutic targets (using imaging & genetic data integration), and more recently, multimodal cancer imaging & radiogenomics.