Session 4: Application of AI in Neuroscience and Neurology

Tuesday, April 23, 2024 2:00 – 3:15 PM
Location: Asbury Hall A-B, Disney Yacht Club

Session Titles:

  • AI + Free-water Imaging for Diagnosing Parkinsonism – David Vaillancourt, PhD
  • The intersection between electrophysiology and neuroimaging: AI guided deep brain stimulation – Joshua Wong, MD
  • A Tale of Two Frontiers: When Brain Meets AI – Natural Intelligence-Inspired AI and AI-Empowered Brain Health – Ruogu Fang, PhD

Learning Objectives:

  • Learn how AI can help diagnose Parkinson’s disease
  • Learn about free-water imaging
  • Learn about subtypes of Parkinsonism
  • Explore the Integration of Neuroscience and AI: Understand how advancements in neuroscience are informing the development of artificial intelligence, focusing on natural intelligence-inspired AI models and their potential in mimicking or enhancing human cognitive processes
  • Examine AI Applications in Brain Health: Learn about the current and emerging applications of AI in the field of brain health, including diagnostic tools, treatment planning, and therapeutic interventions, and how these tools are transforming patient care in neurology
  • Discuss Ethical and Practical Challenges: Analyze the ethical implications and practical challenges of applying AI in neuroscience and brain health, including issues related to data privacy, algorithmic bias, and the impact of AI on clinical decision-making and patient outcomes.

Moderator:

  • Jennifer Bizon, PhD

About the Speakers:

vaillancourt

University of florida

David Vaillancourt, PhD

David Vaillancourt is Chair and Professor in the Department of Applied Physiology and Kinesiology at the University of Florida College of Health and Human Performance. Vaillancourt’s research focuses on how the brain regulates voluntary and involuntary movement with a specific focus on motor disorders. His research program uses advanced neuroimaging techniques to study the functional and structural changes in the brain of humans and animal models that span Parkinson’s disease, tremor, ataxia, and dystonia. He has conducted studies investigating interventions including rehabilitative, surgical, and pharmacological interventions, and published this work in journals that include Brain, Journal of Neuroscience, JAMA Neurology, Neurology, Human Brain Mapping, Neuroimage, Cerebral Cortex, and Neurobiology of Aging. He has been continuously funded by NIH since 1999, and now directs several grants from NIH. Active work in the lab includes progression studies focused on changes in the brain for Parkinson’s disease and Parkinsonism, studies of tremor and brain connectivity and electrophysiology, and pharmacological and neuroimaging studies for dystonia in mouse and human. He served as Chair of the NIH Study Section Motor Function Speech and Rehabilitation and reviews grants for the Michael J. Fox Foundation and National Parkinson Foundation. At UF, he created the course entitled “Movement Disorders” which is now the foundation course for a new T32 training grant from the NIH for training doctoral students in movement disorders.

people

university of florida

Joshua Wong, MD

Joshua Wong, MD, joined the neurology department at the UF College of Medicine in 2022 with a focus in deep brain stimulation, or DBS, and artificial intelligence. He received his bachelor’s degree in bioengineering from UC San Diego and medical degree at New York Medical College. He also completed my residency in neurology and fellowship in movement disorders at the University of Florida.

Wong is now an assistant professor in the department of neurology. His laboratory is a part of the University of Florida Artificial Intelligence (AI) Initiative, where they focus on utilizing AI to improve and transform clinical care and medical education for those with DBS for movement disorders. His special interest is treating patients with movement disorders, including Parkinson’s disease, essential tremor, dystonia and others.

fang

university of florida

Ruogu Fang, PhD

Ruogu Fang, M.S., Ph.D. is a tenured Associate Professor and Pruitt Family Endowed Faculty Fellow in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida. She is the Director of the Smart Medical Informatics Learning and Evaluation (SMILE) Lab, Associate Director of the Intelligent Critical Care Center (IC3), and affiliated faculty of Electrical and Computer Engineering, Computer and Information Science and Engineering, Radiology, and Center for Cognitive Aging and Memory in McKnight Brain Institute. She received her Ph.D. in Electrical and Computer Engineering from Cornell University.

Dr. Fang has established a well-recognized research and educational program focused on bridging Brain and Artificial Intelligence. Her research themes include artificial intelligence (AI)-empowered brain health and brain-inspired AI. Her transdisciplinary research impact has spanned from creating a new modularized machine learning system for early diagnosis of neurodegenerative diseases using novel imaging to individualized intervention using non-invasive brain stimulation to prevent dementia and to neuroscience-informed next-generation AI systems. Furthermore, her lab has been continuously funded by NSF, NIH, AFRL, ORAU, and industry since 2016. Dr. Fang serves as the Principal Investigator (PI) and Co-Investigator on 31 funded grants, among which she served as PI on 14 grants, with a total funding of $43 M, and PI of $6 M. She has eight issued patents and two pending. She was selected as the Rising Stars by the Academy of Science, Engineering, and Medicine of Florida (ASEMFL), the inaugural recipient of the Robin Sidhu Memorial Young Scientist Award from the Society of Brain Mapping and Therapeutics, and received the Best Paper Award from the IEEE International Conference on Image Processing, University of Florida Herbert Wertheim College of Engineering Faculty Award for Excellence in Innovation, UF BME Faculty Research Excellence Award, among others. She has 100+ peer-reviewed publications, including highly respected journals of Lancet Digital Health Lancet Digital Health, Medical Image Analysis, IEEE Transaction on Medical Imaging, that are well cited and frequently featured by international major media (e.g., Forbes Magazine, The Washington Post, ABC, National Geography, The Hindu, EveSmart, and Eminetra). She also serves on the Editorial Board of leading journals including Medical Image Analysis, Computerized Medical Imaging and Graphics, Frontiers of Human Neuroscience, and President of Women in MICCAI (WiM) of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.