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Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Radiology images and reports have long been digitalized. However, the potential of the more than 3.6 billion radiology examinations performed annually worldwide has largely gone unused in the effort to digitally transform health care. The<jats:italic>Bionic Radiologist<\/jats:italic>is a concept that combines humanity and digitalization for better health care integration of radiology. At a practical level, this concept will achieve critical goals: (1) testing decisions being made scientifically on the basis of disease probabilities and patient preferences; (2) image analysis done consistently at any time and at any site; and (3) treatment suggestions that are closely linked to imaging results and are seamlessly integrated with other information. The<jats:italic>Bionic Radiologist<\/jats:italic>will thus help avoiding missed care opportunities, will provide continuous learning in the work process, and will also allow more time for radiologists\u2019 primary roles: interacting with patients and referring physicians. To achieve that potential, one has to cope with many implementation barriers at both the individual and institutional levels. These include: reluctance to delegate decision making, a possible decrease in image interpretation knowledge and the perception that patient safety and trust are at stake. To facilitate implementation of the<jats:italic>Bionic Radiologist<\/jats:italic>the following will be helpful: uncertainty quantifications for suggestions, shared decision making, changes in organizational culture and leadership style, maintained expertise through continuous learning systems for training, and role development of the involved experts. With the support of the<jats:italic>Bionic Radiologist<\/jats:italic>, disparities are reduced and the delivery of care is provided in a humane and personalized fashion.<\/jats:p>","DOI":"10.1038\/s41746-019-0142-9","type":"journal-article","created":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T16:09:01Z","timestamp":1562688541000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["The Bionic Radiologist: avoiding blurry pictures and providing greater insights"],"prefix":"10.1038","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4402-2733","authenticated-orcid":false,"given":"Marc","family":"Dewey","sequence":"first","affiliation":[]},{"given":"Uta","family":"Wilkens","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,9]]},"reference":[{"key":"142_CR1","doi-asserted-by":"crossref","unstructured":"Bleuler, E. in Das autistische-undisziplinierte Denken in der Medizin und seine \u00dcberwindung. 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He also received grant support from the Heisenberg Program of the DFG (DE 1361\/14\u20131), the Digital Health Accelerator of the Berlin Institute of Health, and the DFG graduate program on quantitative biomedical imaging (BIOQIC, GRK 2260\/1). M.D. has received lecture fees from Canon Medical Systems, Guerbet, Cardiac MR Academy Berlin, and Bayer. Prof. Dewey is also the editor of Cardiac CT, published by Springer, and offers hands-on workshops on CT imaging (). M.D. was elected European Society of Radiology (ESR) Research Chair (2019\u20132022) and the opinions expressed in this article are the author\u2019s own and do not represent the view of ESR. M.D. has filed a patent application on fractal analysis of perfusion imaging (together with Florian Michallek, PCT\/EP2016\/071551). Institutional master research agreements exist with Siemens Medical Solutions, General Electric, Philips Medical Systems, and Toshiba Medical Systems. The terms of these arrangements are managed by the legal department of Charit\u00e9\u2014 Universit\u00e4tsmedizin Berlin. The remaining author declares no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"65"}}