• Dr. Hooman Rashidi on Pitt HexAI

  • 2023/12/24
  • 再生時間： 1 時間 13 分
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Dr. Hooman Rashidi on Pitt HexAI

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  • Dr. Hooman Rashidi founding director of Cleveland Clinic’s Pathology and Laboratory Medicine Institute’s Center for Artificial Intelligence and Data Science and vice chair of technology innovation and computational pathology speaks with Pitt HexAI guest host Jamie Gramz, Senior Director of Digital Strategy and Business Development with Siemens Healthineers.

    Jamie and Dr. Rashidi, who will soon be joining the University of Pittsburgh as Associate Dean for Artificial Intelligence in Medicine and as a professor of pathology and executive vice chair for computational pathology, and founding executive director of the Computational Pathology and AI Center of Excellence (CPACE), discuss Dr. Rashidi’s career and interests in medicine, healthcare and artificial intelligence, the role pathology plays in medicine, digital pathology and AI integration, synthetic data, explainable AI, large language models and how research centers are approaching experimenting with generative AI, and about AI education and curriculum development.
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あらすじ・解説

Dr. Hooman Rashidi founding director of Cleveland Clinic’s Pathology and Laboratory Medicine Institute’s Center for Artificial Intelligence and Data Science and vice chair of technology innovation and computational pathology speaks with Pitt HexAI guest host Jamie Gramz, Senior Director of Digital Strategy and Business Development with Siemens Healthineers.

Jamie and Dr. Rashidi, who will soon be joining the University of Pittsburgh as Associate Dean for Artificial Intelligence in Medicine and as a professor of pathology and executive vice chair for computational pathology, and founding executive director of the Computational Pathology and AI Center of Excellence (CPACE), discuss Dr. Rashidi’s career and interests in medicine, healthcare and artificial intelligence, the role pathology plays in medicine, digital pathology and AI integration, synthetic data, explainable AI, large language models and how research centers are approaching experimenting with generative AI, and about AI education and curriculum development.
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