By the end of this educational exhibit, the readers will able to: Discuss the opportunities and challenges of artificial intelligence (AI) Describe the pillars of biomedical ethics and how they might be affected by AI Outline the present regulations and possible additional marks for AI applications in radiology

With the advent of AI, we are facing a paradigm shift in our conceptualization of handling enormous amounts of data churned out with ever finer tools of reception and detection that are at our disposal in radiology. Gone are the days when we, as radiologists in the daily practice of our interpretation of cross-sectional images from patients, were purely equipped with a general perception of the shades of gray or other color-coded pixels[1]. Thanks toAI, we are now armed with the ability toacquiremeaningful data that...

Artificial intelligencecan be employed not just in image analysis in radiology; it is a vigorous tool that can drastically change daily practice. However, AI algorithms can perpetuate human biases, and there is often a lack of transparency in decision making. Artificial intelligence and automated decision-making also raise questions about who is liable for violations as in the example of the deadly autonomous car crash in March 2018[3].Guiding principles set forth for AI applications in radiology ought to include advancement of public good and social value,...

Artificial intelligence has great potential to accelerate scientific discovery in medicine and to transformhealthcare.First,we have to recognize that “there is nothing artificial about AI,” as Fei-Fei Li, the co-director of the Stanford Human-Centered AI Institute, puts it. “It’s inspired by people, it’s created by people, and—most importantly—it impacts people”[16].“Natural” intelligence will and should always be responsible for decision making[13].We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests.Radiologists should...

Contact Information Dr. Tugba Akinci D’Antonoli: [email protected] Dr. Thomas J. Weikert:[email protected] Dr. Alexander W.Sauter:[email protected] Dr. Gregor Sommer:[email protected] Dr. Bram Stieltjes:[email protected] Address University Hospital Basel, University of Basel, Clinic of Radiology&Nuclear Medicine, Petersgraben 4,4031 Basel/Switzerland

Pesapane F, Codari M, Sardanelli F (2018) Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp 2:35. https://doi.org/10.1186/s41747-018-0061-6 Hosny A, Parmar C, Quackenbush J, et al (2018) Artificial intelligence in radiology. Nat Rev Cancer. https://doi.org/10.1038/s41568-018-0016-5 Shaw J (2019) Artificial Intelligence & Ethics. Harv Mag. Available via https://harvardmagazine.com/2019/01/artificial-intelligence-limitations Beauchamp T, Childress JF (2013) Principles of Biomedical Ethics. Oxford University Press Floridi L, Cowls J, Beltrametti M, et al (2018) AI4People – An Ethical Framework for...