Health

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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Healthcare: will algorithms soon be taking decisions instead of doctors?

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Generative AI helps to design new drug candidates

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Vyntelligence: Video Notes for Operators in the Field

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ADHD, oximetry… Smartphones and virtual reality are revolutionising diagnostics

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Start-ups: virtual reality breaks new ground in digital therapeutics

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

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