AI

AI in Medicine: Uses and Consequences on Radiology Work

The progressive proliferation of AI raises many questions about its consequences on work activities: how is it deployed and used within organizations? What are the specific consequences for work? In the area of radiology, in contrast to the discourse which is often binary (positive or negative), the consequences can vary. While there appear to be benefits to using AI in tense organizational contexts (heavy workload or staff shortage), its use entails significant risks such as excessive trust in systems or, paradoxically, an increase in workload, while also requiring the reconfiguration, to a greater or lesser extent, of the work of staff (radiologists and secretaries) not only at individual level but also at collective level.
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Dreamwaves: augmented reality with virtual 3D-sound to help guide the blind

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Machine learning to combat ocean plastic pollution

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Green and Local Energy Exchanges and Optimizing Network Consumption

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GettyImages - ChatGPT

Is ChatGPT a human-like conversational agent?

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Hugo Dinh: “We are only at the beginning of digital diagnostics”

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InclusionNumériqueAfrique-GettyImages

Bridging or widening the digital divide: the challenge of AI in Africa

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