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ai in healthcare

 
 

ai in healthcare

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  • AI is revolutionizing the health care pipeline

  • We partner with hospitals and research institutes (e.g. MGH, Dana Farber and others)

  • We are developing information extraction models from medical reports and images

  • We will exploit the extracted information to produce population-based studies, provide risk assessments and support clinical decisions

  • Related websites:

It is just matter of a time before Artificial Intelligence will revolutionize the heathcare pipeline. From risk assessment to disease diagnosis, from care delivery to administrative tasks, AI is set to boost healthcare efficiency, radically improving its quality and drastically reducing its costs. When machines will be able to automatically assess patient needs and smartly allocate resources, patients will enjoy shorter waiting lists and receive more personalized care.

In the United States, the Center for Data Innovation has already called for a national strategy to guide the AI explosion and its application to healthcare. Similar initiatives are currently happening all over the world.

In our project, we will focus on various types of cancer and heart failure data. We will cooperate closely with hospitals and research institutes (e.g. MGH, Dana Farber, and others) to develop models for the automatic extraction of information from medical reports and images. Such information will be then provided in a structured form to be exploited for population-based studies, and for supporting risk assessment and clinical decisions.


collaborators

regina barzilay

delta electronic professor, eecs, mit

adam yala

phd candidate, eecs, mit

kevin s. hughes

breast cancer surgeon, mgh

charlotta lindvall

medical instructor, dana farber

amir tahmasebi

senior research scientist, philips

susu yan

medical physicist, mgh

zhijing jin

undergraduate student, hku

 
 
 

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