Artificial Intelligence in Medicine (AIM) & Ethics: Introductions and AI Scene-Setting
Over a decade ago, specialist physician and researcher Dr. Niklas Lidströmer found electronic health records to be unorganized, error-prone, and underutilized. Convinced of the value in sifting through and connecting this medical data, Niklas tried to persuade stakeholders of the data’s efficacy, eventually leading to his work in artificial intelligence—a practical tool that could handle sorting through mass amounts of data. Since then, Artificial Intelligence in Medicine (AIM) has grown worldwide as researchers and medical practitioners alike see the benefits of implementing AI not just into data organization, but tasks in patient diagnosis, medical imaging, and telemedicine.
In this four-part series, Niklas dives into the power of AI in medicine, giving us a closer look at how AIM has already shaped clinical practices and doctor-patient relationships. Further, Niklas unpacks the ethics of artificial intelligence in the medical fields, paying particular attention to data privacy and systematic biases.
In this first episode, Niklas introduces his research and the inspiration behind his co-edited title Artificial Intelligence in Medicine, one of the first reference works available on AIM. In addition, he provides an overview on how artificial intelligence is currently being used in medicine, and how AI can impact librarianship, such as in administrative support and citation use.
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