Case Study - Literature Review

    DeepMind, a UK-based company, is teaming up with Google Health to tap into expertise in areas like artificial intelligence, app development, data security, and cloud storage. For the last three years, DeepMind has built a team to tackle complex problems in healthcare. Alongside teams at Google, DeepMind will work to build products that support care teams and improve patient outcomes. "During my time working in the UK National Health Service (NHS) as a surgeon and researcher, I saw first-hand how technology could help, or hinder, the important work of nurses and doctors," said Dominic King, UK Site Lead at Google Health. DeepMind and Google Health will aim to develop tools that could potentially help prevent sepsis and acute kidney injury. By joining forces with Google Health, DeepMind will add to its many projects aimed at improving patient care. The company recently developed a clinical decision support tool that can accurately identify more than 50 eye diseases. With this new collaboration, both DeepMind and Google Health will continue to improve patient care. "I know DeepMind is proud of our healthcare work to date. With the expertise and reach of Google behind us, we'll now be able to develop tools and technology capable of helping millions of patients around the world," said Dominic King. 

    Breast cancer kills roughly 11,500 people in the UK every year (Cancer Research UK, 2020). Google Health and DeepMind have created an AI tool capable of spotting breast cancer with as much accuracy as a human radiologist. DeepMind has suggested that the AI tool could be used as an automated "second reader" to assist radiologists. In the UK it is already standard procedure for two radiologists to view a scan. DeepMind claims to have run a simulation which indicated using the AI could alleviate the work of second readers by 88% (McKinney, Sieniek and Godbole, 2020). This is far from DeepMind's first foray into healthcare. The company has previously developed AI models for identifying eye diseases and detecting neck cancer. We will discuss these models in-depth later on.



References:

  • McKinney, S.M., Sieniek, M., Godbole, V., (2020). International evaluation of an AI system for breast cancer screening. Nature 577, 89–94. <https://doi.org/10.1038/s41586-019-1799-6>
  • Cancer Research UK, (2020). <https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/breast-cancer#heading-Two>, Accessed [December] [2021]

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