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https://sjsu.zoom.us/meeting/register/tZcvf–vrD0vG9PV_qyMcgadMIWG2eH2LrpY
Synopsis:
Neurological disorders are a leading cause of disability and death worldwide. Early detection and efficient management of these disorders can provide significant health benefits. By providing real-time, data-driven insights AI-driven methods meet an urgent need for early detection and management of these disorders.
In this talk, Prof. Phoha will present the potential of AI-driven early diagnosis and Digital Therapeutics (DTx) for neurological disorders. Using the unique properties of data generated through neurological anomalies and disorders, one can use AI methods such as transfer learning from existing knowledge; one-shot and few-shot learning for spiking and sparse data, and hidden Markov models to find underlying relationships and causes of malignant neurological disorders. The speaker will show how the generated data can be captured through smart wearables and phones, how uncovering relationships provides insights for digital rehabilitation, and how using augmented reality and virtual reality provides tremendous potential for cognitive therapy, psychiatric assessments, and rehabilitation. Prof. Phoha will outline a proof-of-concept smart diagnostics-enabled mirror and discuss security issues in smart diagnostics.
Speaker(s): Prof. Vir Phoha, Dr. Vishnu S. Pendyala
Virtual: https://events.vtools.ieee.org/m/438778
Artificial Intelligence Driven Smart Digital Diagnostics and Therapeutics for neurological disorders – Distinguished Lecture by Prof. Vir Phoha
