This webinar took place on Wednesday, October 29, 2025.
The recording of this webinar is available to ISFTD Members. Not a member? Join today!
Join us for an exciting webinar exploring how artificial intelligence is reshaping frontotemporal dementia (FTD) research across disciplines. From the bench to the clinic, AI is breaking silos and driving innovation in neuropathology, neuroimaging, and speech-language science. Talks will cover cutting-edge applications of AI across multiple domains: digital neuropathology (Dr. John Crary), neuroimaging with MRI (Dr. Mahsa Dadar), and speech and language analysis for clinical diagnosis (Dr. Neguine Rezaii). Together, these perspectives illustrate how AI-driven methods are opening new avenues for earlier detection, improved classification, and deeper insights into the underlying mechanisms of FTD.
Program
– Opening remarks by moderators Drs. Maxime Montembeault and Adam Martersteck
– AI in Neuropathology – Dr. John Crary
– Applying AI to MRI Imaging in the Context of FTD – Dr. Mahsa Dadar
– Applying AI to Speech and Language Samples for Clinical Diagnosis in FTD – Dr. Neguine Rezaii
– Q&A
John F. Crary, US
Mahsa Dadar, CA
Neguine Rezaii, US
John F. Crary
John F. Crary, MD-PhD, is a board-certified neuropathologist and Professor at the Icahn School of Medicine at Mount Sinai. He directs the Neuropathology Brain Bank and leads international efforts defining diagnostic criteria for tauopathies and brain aging. Dr. Crary pioneered AI-driven digital neuropathology, developing tools such as HistoAge to quantify cellular aging in human brain tissue. His research integrates human tissue, molecular pathology, and machine learning to uncover mechanisms of neurodegeneration. He is an international leader advancing the future of precision neuropathology through innovation at the interface of biology and artificial intelligence.
Mahsa Dadar
Mahsa Dadar is an assistant professor at the Cerebral Imaging Centre of the Douglas Research Centre, McGill University. Her work is focused on using neuroimaging and machine learning techniques to investigate the progression and impact of cerebrovascular and neurodegenerative pathologies in aging populations.
Neguine Rezaii
Neguine Rezaii is an Assistant Professor of Neurology at Harvard Medical School and the Director of the Computational Neuropsychiatry Program at the Frontotemporal Disorders Unit at Mass General Hospital. She is interested in the analysis of the rich signal of language through methods in artificial intelligence for early detection and prognostication of various neuropsychiatric disorders.