AI will have a transformative impact eclipsing that of the industrial revolution, personal computing, and the internet – combined. The comprehensive adoption of AI is critical for health care not only for innovations in research and treatment, but also to reduce medical errors that lead to the deaths of tens of thousands Americans each year. Mount Sinai intends to lead in the integration of AI in healthcare. We will weave an “intelligent fabric” of AI across the entirety of Mount Sinai Health System to transform our work, optimize diagnosis, treatment, and execute in crises like the SARS-CoV-2 pandemic. AI will extend patient care well beyond the walls of the hospital, supporting wellness and disease prevention and seamlessly connecting patients with their health care teams for appointments. Mount Sinai’s proven track record pioneering and adopting innovative technology, and the sheer level of talent and entrepreneurial spirit at the School strongly positions us to make this a reality.
Dr. Thomas Fuchs, DSc, will be presenting on the historic opportunity to integrate and advance AI for human health and transform how healthcare is delivered on all fronts; patient care, scientific discovery, and the overall patient experience.
Participants must register by NOON on June 9th to receive details on joining the discussion. The Zoom link will be sent out by 6:00pm on June 9th.
Please note that no refunds will be issued.
Dean of Artificial Intelligence and Human Health at Mount Sinai -- Founder of Paige.ai
Thomas J. Fuchs, Dr.Sc., is a scientist in the groundbreaking field of Computational Pathology, focused on the use of artificial intelligence to analyze images of tissue samples to identify disease, recommend treatment and predict outcome. In October 2020, he has been appointed Co-Director of the Hasso Plattner Institute for Digital Health at Mount Sinai, Dean of Artificial Intelligence (AI) and Human Health, and Professor of Computational Pathology and Computer Science at the Icahn School of Medicine at Mount Sinai. In this role, he will lead the next generation of scientists and clinicians to use artificial intelligence and machine learning to develop novel diagnostics and treatments for acute and chronic disease.
Dr. Fuchs’s work includes developing novel methods for analysis of digital microscopy slides to better understand genetic mutations and their influence on changes in tissues. He has been recognized for developing large-scale systems for mapping the pathology, origins, and progress of cancer. This breakthrough was achieved by building a high-performance compute cluster to train deep neural networks at petabyte scale.
Before joining Mount Sinai, Dr. Fuchs was Director of the Warren Alpert Center for Digital and Computational Pathology at Memorial Sloan Kettering Cancer Center (MSK) and Associate Professor at Weill Cornell Graduate School for Medical Sciences. At MSK he led a laboratory focused on computational pathology and medical machine learning. Dr. Fuchs co-founded Paige.AI in 2017 and led its initial growth to the leading AI company in pathology. He is a former research technologist at NASA’s Jet Propulsion Laboratory and visiting scientist at the California Institute of Technology. Dr. Fuchs holds a Doctor of Sciences from ETH Zurich in Machine Learning and a MS in Technical Mathematics from Graz Technical University in Austria.
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