Papers
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. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2010). Prediction modeling using EHR data: Challenges, strategies, and a comparison of machine learning approaches. Medical Care, 48. Retrieved de https://www.jstor.org/stable/20720782
. (2019). Physician perspectives on integration of artificial intelligence into diagnostic pathology. Npj Digital Medicine, 2(1). https://doi.org/10.1038/s41746-019-0106-0
. (2015). Norms, institutions and robots. Journal Of Latex Class Files, 14. Retrieved de https://arxiv.org/abs/1807.11456
. (2020). No automation please, we're British: Technology and the prospects for work. Cambridge Journal Of Regions, Economy And Society, 13, 117–134. https://doi.org/10.1093/cjres/rsaa003
. (2020). No automation please, we're British: Technology and the prospects for work. Cambridge Journal Of Regions, Economy And Society, 13, 117–134. https://doi.org/10.1093/cjres/rsaa003
. (2019). Negotiated and reciprocal exchange structures in human-agent cooperation. Computers In Human Behavior, 90, 288 - 297. https://doi.org/10.1016/j.chb.2018.08.012
. (2018). A method to link advances in Artificial Intelligence to occupational abilities. Aea Papers And Proceedings, 108, 54 - 57. https://doi.org/10.1257/pandp.20181021
. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2
. (2018). Machine learning, social learning and the governance of self-driving cars. Social Studies Of Science, 48, 25-56. https://doi.org/10.1177/0306312717741687
. (2019). A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. Jco Clinical Cancer Informatics, (3), 1 - 17. https://doi.org/10.1200/CCI.18.00056
. (2019). A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. Jco Clinical Cancer Informatics, (3), 1 - 17. https://doi.org/10.1200/CCI.18.00056
. (2019). Machine learning concepts, concerns and opportunities for a pediatric radiologist. Pediatric Radiology, 49(4), 509 - 516. https://doi.org/10.1007/s00247-018-4277-7
. (2019). Machine learning concepts, concerns and opportunities for a pediatric radiologist. Pediatric Radiology, 49(4), 509 - 516. https://doi.org/10.1007/s00247-018-4277-7
. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
. (2014). The impact of robotics on employment and motivation of employees in the service sector, with special reference to health care. Safety And Health At Work, 5(4), 198 - 202. https://doi.org/10.1016/j.shaw.2014.07.003
. (2018). The impact of automation on employment: Just the usual structural change?. Sustainability, 10(5), 1661. https://doi.org/10.3390/su10051661
. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
Ebel2021_Article_HybridIntelligenceInBusinessNe.pdf (605.72 KB). (2019). Hybrid Intelligence. Business & Information Systems Engineering, 61(5), 637 - 643. https://doi.org/10.1007/s12599-019-00595-2
. (2018). Human and smart machine co-learning with brain computer interface. Ieee Smc Magazine, 4. Retrieved de https://arxiv.org/abs/1802.06521