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Wednesday, May 21, 2025
Medtronic to Separate Diabetes Business into New Standalone Company

Medtronic to Separate Diabetes Business into New Standalone Company

May 21, 2025May 21, 2025
Second NHS chief executive confirmed for Summer Schools 2025

Second NHS chief executive confirmed for Summer Schools 2025

May 21, 2025May 21, 2025
Time to rethink how we evaluate digital technologies in healthcare

Time to rethink how we evaluate digital technologies in healthcare

May 21, 2025May 21, 2025
NIH Embraces Human-Based Research Alternatives

NIH Embraces Human-Based Research Alternatives

May 21, 2025May 21, 2025
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Author: Health IT Analytics

The News Aggregator will pull the latest articles and news from around the internet to present them in one place for you to easily keep up to date on all things related to Medical Informatics. Xtelligent Healthcare Media is the leading healthcare B2B media company using data to deliver relevant content to our readers and ROI to over 300 advertisers.
Self-supervised foundation models mitigate bias in histopathology AI

Self-supervised foundation models mitigate bias in histopathology AI

April 29, 2024April 30, 2024Health IT Analytics

By Shania Kennedy

April 29, 2024 – A research team from Mass General Brigham found that standard computational pathology models performed differently across demographic groups, but demonstrated that foundation models can partially mitigate these disparities, according…

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Computational models forecast pediatric heart valve leakage

Computational models forecast pediatric heart valve leakage

April 24, 2024April 24, 2024Health IT Analytics

By Shania Kennedy

April 24, 2024 – Researchers from the University of Oklahoma (OU) have developed computational models designed to predict heart valve leakage in children and help guide surgical decision-making.
These tools identify the shape of…

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Machine learning approach predicts heart failure outcome risk

Machine learning approach predicts heart failure outcome risk

April 22, 2024April 23, 2024Health IT Analytics

By Shania Kennedy

April 22, 2024 – Researchers from the University of Virginia (UVA) have developed a machine learning tool designed to assess and predict adverse outcome risks for patients with advanced heart failure with reduced…

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Artificial intelligence tools improve skin cancer diagnostic accuracy

Artificial intelligence tools improve skin cancer diagnostic accuracy

April 18, 2024April 18, 2024Health IT Analytics

By Shania Kennedy

April 18, 2024 – Artificial intelligence (AI)-driven tools can improve the skin cancer diagnostic accuracy of clinicians, nurse practitioners and medical students, according to a study published last week in npj Digital Medicine.
The…

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Deep learning tool may reduce false-positives in screening mammography

Deep learning tool may reduce false-positives in screening mammography

April 12, 2024April 12, 2024Health IT Analytics

By Shania Kennedy

April 12, 2024 – Researchers have developed a deep learning tool capable of reducing false positives without missing true cases of breast cancer identified by screening mammography, according to a study published this…

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Machine learning predicts hospitalization during cancer treatment

Machine learning predicts hospitalization during cancer treatment

April 8, 2024April 9, 2024Health IT Analytics

By Shania Kennedy

April 08, 2024 – Machine learning tools can accurately forecast an unplanned hospitalization event during concurrent chemoradiotherapy (CRT) using patient-generated health data from wearable devices, according to a study published recently in JAMA…

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Clinical deterioration AI contributes to reduced care escalation risk

Clinical deterioration AI contributes to reduced care escalation risk

April 5, 2024April 5, 2024Health IT Analytics

By Shania Kennedy

April 05, 2024 – Researchers have demonstrated that an artificial intelligence (AI) model designed to detect clinical deterioration was associated with a significantly decreased risk of inpatient escalations in care, according to a…

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Machine learning approach may help tailor precision medicine treatments

Machine learning approach may help tailor precision medicine treatments

April 2, 2024April 2, 2024Health IT Analytics

By Shania Kennedy

April 02, 2024 – A research team from Arizona State University has developed a machine learning (ML) model capable of predicting whether a patient’s immune system will recognize pathogens and other foreign cells,…

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NIH funding development of AI tools for health disparity research

NIH funding development of AI tools for health disparity research

April 1, 2024April 1, 2024Health IT Analytics

By Shania Kennedy

April 01, 2024 – George Washington University (GW) School of Medicine and Health Sciences (SMHS) and the University of Maryland Eastern Shore (UMES) have been awarded a two-year, $839,000 National Institutes of Health…

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Online big data dashboard to help map enteric infectious diseases

Online big data dashboard to help map enteric infectious diseases

March 28, 2024March 28, 2024Health IT Analytics

By Shania Kennedy

March 28, 2024 – A team from the University of Virginia (UVA) is developing an online big data dashboard to map enteric infectious disease burden in low- and middle-income countries, which researchers and…

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If we can reduce the cost and improve the quality of medical technology through advances in nanotechnology, we can more widely address the medical conditions that are prevalent and reduce the level of human suffering.

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Recent Posts

  • Medtronic to Separate Diabetes Business into New Standalone Company

    Medtronic to Separate Diabetes Business into New Standalone Company

    May 21, 2025May 21, 2025Comments Off on Medtronic to Separate Diabetes Business into New Standalone Company
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    Second NHS chief executive confirmed for Summer Schools 2025

    May 21, 2025May 21, 2025Comments Off on Second NHS chief executive confirmed for Summer Schools 2025
  • Time to rethink how we evaluate digital technologies in healthcare

    Time to rethink how we evaluate digital technologies in healthcare

    May 21, 2025May 21, 2025Comments Off on Time to rethink how we evaluate digital technologies in healthcare
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