4.7 Article

Machine learning and medical education

Journal

NPJ DIGITAL MEDICINE
Volume 1, Issue -, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41746-018-0061-1

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Funding

  1. Boston University's Broadening Experiences in Scientific Training (BEST) program
  2. American Heart Association [17SDG33670323]
  3. Hariri Institute for Computing and Computational Science & Engineering at Boston University
  4. National Center for Advancing Translational Sciences, National Institutes of Health, through BU-CTSI Grant [1UL1TR001430]
  5. Whitaker Cardiovascular Institute at Boston University School of Medicine through a pilot grant award

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Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer science that is rapidly gaining popularity within the healthcare sector. Recent regulatory approvals of AI-driven companion diagnostics and other products are glimmers of a future in which these tools could play a key role by defining the way medicine will be practiced. Educating the next generation of medical professionals with the right ML techniques will enable them to become part of this emerging data science revolution.

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