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Readings
Readings are designed to expand your knowledge and catch up on the latest actualities and research conducted by experts in the field.
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How AI can make Healthcare Human Again
By Eric Topol
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AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard.
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Managing Artificial Intelligence Wisely
By Lauren Waardenburg, Marleen Hysman, Marlous Agterberg
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In Dutch
This book is unique in its focus on operational and implementation processes within real organizations. The book illustrates how AI is transforming work, and highlights key implications and recommendations for managers considering embarking on or already implementing AI.
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The Robot Revolution: Managerial and Employment Consequences for Firms
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By Jay Dixon, Bryan Hong, Lynn Wu
Published in Management Science 67(9) - pp. 5586–5605
As a new general-purpose technology, robots have the potential to radically transform employment and organizations. In contrast to prior studies that predict dramatic employment declines, we find that investments in robotics are associated with increases in total firm employment, but decreases in the total number of managers. It is important to recognize what this means for your expertise pyramid.
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A Review of Perceptual Expertise in Radiology-How it develops, How we can test it, and Why humans still matter in the era of Artificial Intelligence
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By Stephen Waite et al.
Published in Academic Radiology 27(1) - pp. 26-38
This article unpacks the perceptual skills of radiologists, its common issues, expertise development through training and theories about how humans apply such expertise at work. The authors show that perceptual expertise is a rich and often emergent practice, thus far from being fully captured through "narrowly focused" AI tools. They reject the idea that AI can outperform radiologists' perceptual skills, and rather propose AI as an effective "guide" for training radiologists on their perceptual skills.
![JAMA_Cover_Image.png](https://static.wixstatic.com/media/ec80fb_8a3b8509ad7e4bdf849cf715c8f31a95~mv2.png/v1/fill/w_102,h_135,al_c,q_85,usm_0.66_1.00_0.01,blur_2,enc_auto/JAMA_Cover_Image.png)
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Artificial Intelligence in Health Care: Will the Value Match the Hype?
By Ezekiel Emanuel, Robert Wachter
Published in JAMA The Journal of the American Medical Association 321(21) - pp. 2281-2282
This article unpacks the perceptual skills of radiologists, its common issues, expertise development through training and theories about how humans apply such expertise at work. The authors show that perceptual expertise is a rich and often emergent practice, thus far from being fully captured through "narrowly focused" AI tools. They reject the idea that AI can outperform radiologists' perceptual skills, and rather propose AI as an effective "guide" for training radiologists on their perceptual skills.