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.

Artificial Intelligence in Medicine (AIM) & Ethics

In this first episode, Niklas introduces his research and the inspiration behind his co-edited title Artificial Intelligence in Medicine, one of the first references 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.

Episode #1 - Introductions and AI Scene-Setting

In this second episode, Dr. Niklas Lidströmer, co-editor of Artificial Intelligence in Medicine, discusses the benefits and challenges of AI in medicine. First, Niklas digs into how AIM allows for a progressiveness that could leave non-AI inclusive doctors behind. He also touches on the process of creating standardized, global practices for medical data processing, the significance of empowering the patient with their own medical information, and how AIM could transform the doctor-patient relationship for the better.

Episode #2: The Benefits and Challenges

In this third episode, Dr. Niklas Lidströmer, co-editor of Artificial Intelligence in Medicine, tackles the complexities of ethics in AIM. He first discusses issues of safety and privacy when handling sensitive medical data, highlighting solutions like encryption, decentralized storage, and sharing algorithms rather than raw data. Next, Niklas addresses how bias and prejudice affect AIM, and the importance of recognizing how this can impact treatment. Last, he digs into transparency practices in AI decision-making, and the through line in data protection between AIM and librarianship.

Episode #3 - Safety, Privacy, And Bias

In the final episode of this series, Dr. Niklas Lidströmer, co-editor of Artificial Intelligence in Medicine, looks at future trends of Artificial Intelligence in Medicine (AIM). Niklas covers major innovations ahead and their potential impacts on treatment and the patient and doctor relationship. In addition, he discusses the current global applications of AIM and his forthcoming title on Artificial Intelligence and the COVID-19 pandemic. Last, Niklas considers how librarianship will fit into the increased availability of medical data, including more advanced patron requests and co-authorship between librarians and researchers.

Episode #4 - Trends And Looking Ahead

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