Background: Mobile apps are being increasingly used to foster healthy lifestyles. There is a growing need for clear, standardized guidelines to help users select safe and effective health apps. Objective: Our study aimed to…
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Confidence in AI tools starts with clinical oversight© 2026 HIMSS. All rights reserved. While generative AI tools are transforming clinical decision support, it’s important to understand these tools’ performance and risk before implementing them. Elsevier…
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Concerns are mounting over links between NHS federated data platform (FDP) supplier Palantir and the US Immigration and Customs Enforcement (ICE) as tensions rise in the US.
US firm Palantir signed a £330m contract in…
NVIDIA and Lilly are teaming up to address challenges in drug discovery. The two companies announced that they plan to invest up to $1 billion in an artificial intelligence (AI) co-innovation lab over five…
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As climate change intensifies, healthcare systems will increasingly face unprecedented climatic emergencies surpassing assumptions underlying their emergency protocols. While conventional scenario-based preparedness and contingency planning will remain relevant for most events, they may falter…
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What You Should Know
The News: Greenway Health, in collaboration with AWS, has launched the “Agentic AI Factory,” a platform designed to mass-produce secure, compliant AI agents for healthcare.The Shift: Unlike standalone chatbots, these “agentic”…
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A number of the conditions would overtax already-burdened IT staffs, including a mandatory compliance deadline that would be a “shock to our system,” says CHIME Director of Federal Affairs Chelsea Arnone.
“We strongly support improving…
What You Should Know:
– Marvin Health has launched role-specific AI coaches built on OpenAI to support physicians, nurses, and residents.
– Unlike generic chatbots, these tools use “clinical scaffolding” to offer personalized, 24/7 support for…
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New ATA AI policy framework champions accountability, performance monitoring | Healthcare IT News
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Precise localization of perfusion deficits in diffusion-weighted MRI (DWI) is critical for acute ischemic stroke management. However, existing deep learning methods typically produce discrete binary masks, failing to capture the continuous nature of ischemic…
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