Can Artificial Intelligence Today “See” Beyond the Expert Clinical Eye?
About This Video
In this tech vision talk, Paula discusses the integration of deep learning techniques into diagnostic practice is set to transform healthcare. Their research focuses on developing advanced algorithms for diagnosing meningitis in newborns, using non-invasive ultrasound technologies and computer vision.
Meningitis, a life-threatening condition, requires rapid and accurate diagnosis. By harnessing the power of deep learning, we can increase diagnostic accuracy and improve patient outcomes, particularly in remote areas with limited access to medical expertise. This technology supports clinical decision-making and reduces the burden on doctors, demonstrating its remarkable potential to save lives and democratize healthcare.
In This Video
Associate Research Professor, Biomedical Data Scientist, Barcelona Institute for Global Health (ISGlobal)
Associate Research Professor Paula Petrone leads the Biomedical Data Science Team at ISGlobal, which focuses on diagnosing chronic and infectious diseases using computer vision and advanced machine learning techniques. Paula graduated with a degree in Physics from Instituto Balseiro and earned her Ph.D. in Biophysics from Stanford University. She has served as a biomedical data scientist in the life science and startup sectors for over 10 years, specializing in areas, such as drug discovery, health informatics, and image analysis.