Interactive Workshops

  • Workshop 1: Maximizing the Value of AI: Weighing Widespread Integration Against Specialized Medical Applications

    o   Lead:  Ernest Namdar

    o   Co-lead: Dr. Roberto Romero

    This workshop delves into the strategic deployment of AI in healthcare, focusing on the cost-benefit analysis of broad versus specialized applications. Participants will explore how AI-driven innovations, such as imaging pipelines for pediatric brain tumors, can balance the need for precision with the potential for widespread impact, ultimately enhancing patient outcomes while maintaining cost-effectiveness.

  • Workshop 2: AI in Action: Learning from Successes and Challenges in Medical Innovation

    o   Lead: Atsuhiro Hibi

    o   Co-lead: Dr. Michael D. Cusimano

    In this workshop, real-world case studies will be examined, showcasing the application of AI in healthcare, with a particular focus on traumatic brain injury. Through analyzing both successful and challenging implementations, attendees will gain insights into the practical lessons learned, and how these can inform future AI-driven prognostic tools to improve patient care.

  • Workshop 3: Delivering AI Solutions in Resource-Limited Settings: Strategies for Cost-Effective Healthcare

    Lead: Dr. Jean Carlo Segura

    Co-lead: Dr. Pascal Tyrrell

    This workshop focuses on the innovative use of AI to bridge critical gaps in healthcare within resource-limited settings. Participants will explore practical strategies for developing and implementing AI solutions that are not only effective but also cost-efficient, ensuring that underserved populations receive the benefits of advanced medical technologies.

  • Ernest Namdar

    Ernest Namdar is a PhD candidate at UofT's Institute of Medical Science, supervised by Dr. Farzad Khalvati. He is also a senior data analyst at the Hospital for Sick Children. He is researching Pediatric Low-Grade Neuroepithelial Tumor (PLGNT), the most common brain tumor in children.

  • Atsuhiro Hibi

    Atsuhiro Hibi is a PhD candidate at UofT's Institute of Medical Science. Under the guidance of Dr. Pascal Tyrrell and Dr. Michael Cusimano, his research centers on AI-assisted prognostication in traumatic brain injury. His thesis aims to leverage multi-modal clinical data, including CT scans, to develop efficient and reliable prognostic tools.

  • Dr. Jean Carlo Segura

    Jean Carlo Segura is a physician from the University of Costa Rica, Director of the Medical Integration Section at the School of Medicine. He is a professor in clinical simulation and a researcher in tropical diseases for the WHO. He is also responsible for projects with indigenous populations, medical devices, and health technologies.

  • Dr. Roberto Romero

    Roberto Romero is a Professor and Chair of Graduate Studies at the Department of Electrical & Computer Engineering, Universidad de las Américas-Puebla (Mexico). His pioneering work has helped bring internet services and other technology to isolated communities with diverse applications in education and health.

  • Dr. Michael Cusimano

    Michael Cusimano is a neurosurgeon at St. Michael's Hospital, Unity Health Toronto and a scientist at the Li Ka Shing Knowledge Institute. His research has focused on developing novel skull base approaches to intracranial lesions, traumatic brain injury and concussion, and to educational studies relating to health professionals and the general public.

  • Dr. Pascal Tyrrell

    Pascal Tyrrell is an accomplished data scientist and the Director of Data Science at the University of Toronto's Department of Medical Imaging. His research focuses on applying cutting-edge Artificial Intelligence to medical image analysis, driving improved health outcomes. Additionally, Pascal is a serial entrepreneur with expertise in computer software, medical devices, and agri-tech.