Artificial Intelligence in Medicine (AIM) & Ethics: Safety, Privacy, and Bias
Sponsored by Springer Nature
Recorded on 08/17/2022
Posted in The Authority File
The ethics of Artificial Intelligence in Medicine (AIM) include questions of privacy, safety, and authority. In fact, the ownership of medical data and safeguarding patients’ identities is only one part of the puzzle. Additional challenges like preventing biases from entering diagnosis or alerting patients to the use of AI—and receiving consent—are crucial hurdles to overcome with the adoption of AIM.
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.
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About the guest:
Dr. Niklas Lidströmer, MD, MSc
Specialist Physician, Senior Advisor, Postgraduate Researcher
Dr. Niklas Lidströmer of Karolinska Institute is a specialist physician, postgraduate researcher in AI in medicine, senior advisor in AI and medical investments, former AI entrepreneur and founder of an AI powered medical platform, former head of Medical AI at a variety of med-tech companies, and also previous co-leader of a handful of successful medical startups.
His experience also encompasses widespread global clinical work spanning 20 years within numerous regions across eight countries. After graduating with a master’s thesis on global medicine in 2000, he began practicing as a medical doctor in 2002, followed by internship, specialized residencies, and clinical work all over the world, including 1 year circumnavigating as a maritime doctor. His international work experience, fluency in nearly ten languages, practical familiarization with AI in the medical and pharmaceutical industries, and clinical specialist competence in general medicine have produced a passion for translational and educational aspects of artificial intelligence in medicine.
Dr. Lidströmer is Editor-in-Chief of the Springer Nature Reference Work Artificial Intelligence in Medicine – the new standard reference, for artificial intelligence in medicine, which has now become the largest and most comprehensive in the scientific community.