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How Healthcare Organizations Can Pick the Right MSP for Their Security Needs

How Healthcare Organizations Can Pick the Right MSP for Their Security Needs

July 22, 2025July 22, 2025
Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations

Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendations

July 22, 2025July 22, 2025
Osteoarthritis progression pattern based on patient specific characteristics using machine learning

Osteoarthritis progression pattern based on patient specific characteristics using machine learning

July 22, 2025July 22, 2025
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Tag: predictive models

VisiQuate Acquires Etyon, Enhancing AI-Powered Revenue Cycle

VisiQuate Acquires Etyon, Enhancing AI-Powered Revenue Cycle

July 3, 2025July 3, 2025HIT Consultant

What You Should Know: 

– VisiQuate, a leader in AI-powered revenue cycle management (RCM), announced its acquisition of Etyon, a healthcare technology company recognized for its deep RCM machine learning, domain-specific algorithms, and advanced data…

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Biostate AI Secures $12M to Optimize RNA Sequencing, Precision Medicine

Biostate AI Secures $12M to Optimize RNA Sequencing, Precision Medicine

May 20, 2025May 21, 2025HIT Consultant

What You Should Know: 

– Biostate AI, an innovator at the intersection of artificial intelligence and RNA sequencing raises $12M in Series A funding spearheaded by Accel, with participation from Gaingels, Mana Ventures, InfoEdge Ventures,…

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Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke

Hybrid machine learning for real-time prediction of edema trajectory in large middle cerebral artery stroke

May 17, 2025May 17, 2025npj Digital Medicine

In treating malignant cerebral edema after a large middle cerebral artery stroke, clinicians need quantitative tools for real-time risk assessment. Existing predictive models typically estimate risk at one, early time point, failing to account…

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HIMSSCast: Fundamentals of data governance - lessons from UNC Health, part 3

HIMSSCast: Fundamentals of data governance – lessons from UNC Health, part 3

March 7, 2025Healthcare IT news

In this third episode of a three-week series of HIMSSCast, we again speak with UNC Health’s System Director for Analytical Solutions Greg Kuhnen. This time, he is joined by his colleague Ram Rimal, UNC’s…

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Hospital AI Bias Testing Reveals Healthcare Gaps

Hospital AI Bias Testing Reveals Healthcare Gaps

January 28, 2025January 28, 2025DistilINFO Hospital IT

Current State of Healthcare AI Implementation
While artificial intelligence has become increasingly prevalent in U.S. healthcare systems, with approximately two-thirds of hospitals utilizing AI-assisted predictive models, a striking disparity exists in their evaluation practices. According…

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AI bias evaluation efforts are uneven across U.S. hospitals

AI bias evaluation efforts are uneven across U.S. hospitals

January 24, 2025January 24, 2025Healthcare IT news

While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.These were the results of a recent study…

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Roundup: New tools aim to give clinicians what they need with AI

Roundup: New tools aim to give clinicians what they need with AI

December 12, 2024December 13, 2024Healthcare IT news

Artificial intelligence and machine learning have been enhancing and improving healthcare processes for years now. But the advent of generative AI and the refinement of predictive models, have ushered in a new era where…

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The Double-Edged Sword of GenAI in the Life Sciences Sector

The Double-Edged Sword of GenAI in the Life Sciences Sector

October 28, 2024October 29, 2024HIT Consultant

 Rob Juncker, CTO of Code42 (now part of Mimecast)

It’s said that data is the lifeblood of the modern enterprise. While that’s certainly true, it’s also true that there is perhaps no industry as dependent…

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MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

September 7, 2024September 7, 2024npj Digital Medicine

Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data. However, concealed systematic biases can…

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CZI Launches AI Advisory Group and Residency Program

CZI Launches AI Advisory Group and Residency Program

March 21, 2024March 23, 2024HIT Consultant

What You Should Know:

– The Chan Zuckerberg Initiative (CZI) announced the formation of a powerful AI Advisory Group and an in-house AI residency program, both focused on building predictive models of healthy and diseased…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

Tony Ambrozie

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