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Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

May 17, 2025May 17, 2025
Development and prospective implementation of a large language model based system for early sepsis prediction

Development and prospective implementation of a large language model based system for early sepsis prediction

May 17, 2025May 17, 2025
FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

May 17, 2025May 17, 2025
Social determinants of health extraction from clinical notes across institutions using large language models

Social determinants of health extraction from clinical notes across institutions using large language models

May 17, 2025May 17, 2025
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Tag: AI bias

PhyloFrame Tackles AI Bias Problem 2025

PhyloFrame Tackles AI Bias Problem 2025

March 21, 2025DistilINFO Hospital IT

How Machine Learning Addresses Ancestral Bias
The risk of bias in artificial intelligence has been extensively documented, but a groundbreaking new tool is poised to transform genetic research by addressing critical ancestral bias in datasets….

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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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Recommendations published to tackle bias in medical AI tech

Recommendations published to tackle bias in medical AI tech

December 20, 2024December 20, 2024Digital Health

A set of internationally-agreed recommendations has been published with the aim of reducing the risk of potential bias in AI for healthcare technologies.
The guidelines from the STANDING Together initiative, published The Lancet Digital Health…

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Yale study shows how AI bias worsens healthcare disparities

Yale study shows how AI bias worsens healthcare disparities

November 25, 2024November 25, 2024Healthcare IT news

A new research report from Yale School of Medicine offers an up-close look at how biased artificial intelligence can affect clinical outcomes. The study focuses specifically on the different stages of AI model development,…

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How Are AI Companies Reacting to HHS’ New Transparency Requirements? - MedCity News

How Are AI Companies Reacting to HHS’ New Transparency Requirements? – MedCity News

December 20, 2023December 21, 2023MedCity News

The use of AI in healthcare fills some people with feelings of enthusiasm, some with fear and some with both. In fact, a new survey from the American Medical Association showed that nearly half…

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New standards released to ensure medical AI is safe and effective

New standards released to ensure medical AI is safe and effective

November 1, 2023November 1, 2023Digital Health

Healthcare professionals can harness AI safely and effectively by following a new set of patient and industry-agreed standards.An international initiative called STANDING Together has released new standards ensuring that medical AI systems are developed with…

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Government leaders trying to stay ahead of AI, address public fears 

Government leaders trying to stay ahead of AI, address public fears 

November 1, 2023November 1, 2023Digital Health

Government leaders in both the UK and the US have addressed the safety of AI over the past week as they attempt to address demands for guidelines for a technology that continues to develop…

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Generative AI masterclass: focus on problem-solving and be confident

Generative AI masterclass: focus on problem-solving and be confident

October 30, 2023October 31, 2023Digital Health

Generative AI has the ability to be transformational as long as both clinicians and entrepreneurs working in the space are focused on problem-solving, panellists told a Masterclass at Digital Health AI and Data’s AI…

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LLMs Can Perpetuate Harmful Ideas About Race-Based Medicine, Study Shows - MedCity News

LLMs Can Perpetuate Harmful Ideas About Race-Based Medicine, Study Shows – MedCity News

October 24, 2023October 24, 2023MedCity News

While healthcare providers are certainly excited about generative AI and its potential to alleviate clinical and operational inefficiencies in the field, they are also carefully considering how to mitigate risk associated with the use…

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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.

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Recent Posts

  • Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

    Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

    May 17, 2025May 17, 2025Comments Off on Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings
  • Development and prospective implementation of a large language model based system for early sepsis prediction

    Development and prospective implementation of a large language model based system for early sepsis prediction

    May 17, 2025May 17, 2025Comments Off on Development and prospective implementation of a large language model based system for early sepsis prediction
  • Social determinants of health extraction from clinical notes across institutions using large language models

    Social determinants of health extraction from clinical notes across institutions using large language models

    May 17, 2025May 17, 2025Comments Off on Social determinants of health extraction from clinical notes across institutions using large language models
  • FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

    FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

    May 17, 2025May 17, 2025Comments Off on FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting
  • The DRAGON benchmark for clinical NLP

    The DRAGON benchmark for clinical NLP

    May 17, 2025May 17, 2025Comments Off on The DRAGON benchmark for clinical NLP
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