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‘Insufficient governance of AI’ is the No. 2 patient safety threat in 2025

Radiology Business

ECRI compiled its latest list of healthcare hazards based on a wide scope of data, hoping to pintpoint the most pressing threats to patients' well-being.

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IAIGH releases Healthcare AI Governance Standard for public comment

AuntMinnie

The Institute for AI Governance in Healthcare (IAIGH) has released for public comment a document it calls Healthcare AI Governance Standard (HAIGS). According to the IAIGH , the HAIGS prioritizes patient safety, data security, equity, transparency, trust, and regulatory compliance.

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IAIGH Seeks Comment on Healthcare AI Governance Standard

Imaging Technology

14, 2024 – The Institute for AI Governance in Healthcare (IAIGH) has published the draft Healthcare AI Governance Standard (HAIGS) for public comment. It will significantly aid healthcare institutions grappling with AI governance, filling a major gap." tim.hodson Tue, 10/15/2024 - 13:33 Oct.

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What Healthcare Can Learn from AI in Other Industries

Aidoc

We all know AI is transforming healthcare, from predictive analytics to workflow automation. So, what can healthcare learn from these industries? What healthcare can learn: Right now, AI in healthcare often focuses on analyzing whats already happened including reading scans and reviewing patient records.

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AI Governance: Regulation and Governance Hand-Shake

Aidoc

While healthcare and artificial intelligence may offer an obvious choice for a dynamic duo, another collaboration is just as important for AI’s long-term success: AI governance and AI regulation. Regulation refers to external rules and standards imposed by government or industry bodies to govern AI development and deployment.

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Top 5 Product Trends Shaping the Future of Clinical AI in 2025

Aidoc

As we enter 2025, the once futuristic possibilities of clinical AI like real-time data analysis are becoming the expectation of modern healthcare. For healthcare leaders, staying ahead means understanding the trends driving this shift smarter workflows, data-driven decisions and better patient outcomes. Whats Next?

Clinic 52
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WHO: AI use in low-income countries could be ‘dangerous’

AuntMinnie

In a new 98-page report on the ethics and governance of large multi-modal models (LMMs), the WHO stressed that it is imperative for the technology not to be shaped solely by high-income countries working with the world’s largest technology companies.