
Algorithms: All Set to Shape Tomorrow’s Medicine
Practical uses for AI thanks to increased computing power
Bram Stieltjes, MD, Head of Research Coordination, Radiology & Nuclear Medicine Clinic, University Hospital Basel, Switzerland
“Mathematical revolution in radiology”
It’s not at all clear whether we are looking at images or at purely statistical parameters.
Professor Stefan Schönberg, Chairman, Department of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Germany
Most radiologists don’t see AI as a threat but as something beneficial to the field.
Professor Michael Forsting,Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen University Hospital, Germany
AI to make inroads into labs
The first step will definitely be an increase in efficiency thanks to AI.
Professor Frederick Klauschen, Institute of Pathology, Charité, Berlin, Germany
Will diagnostic specialists become redundant?

AI and narrative-based medicine
- [1] From Automating Muscle to Augmenting the Brain. How Artificial Intelligence Will Change the Clinical Laboratory. Siemens Healthineers/Siemens Healthcare Diagnostics Inc., Tarrytown, NY, July 2018. https://www.siemens-healthineers.com/news/mso-ai-willchange-clinical-laboratory.html. Last accessed May 14th, 2019
- [2] Nat Med. 2019 Jan;25(1):60-64
- The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.