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How to Interpret Medical Research

How to Interpret Medical Research

June 1, 2025June 1, 2025
A general framework for governing marketed AI/ML medical devices

A general framework for governing marketed AI/ML medical devices

June 1, 2025June 1, 2025
Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

May 31, 2025May 31, 2025
From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

May 31, 2025May 31, 2025
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Tag: open source

Healthcare AI News 5/7/25

Healthcare AI News 5/7/25

May 7, 2025HIStalk

News

UTMB is running AI on all CT scans to generate cardiac risk scores, flagging 5–10 of the 450 monthly scans for follow-up intervention. Chief AI Officer Peter McCaffrey, MD, MS says,

What I love…

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Healthcare AI News 4/16/25

Healthcare AI News 4/16/25

April 16, 2025HIStalk

News

Anthropic adds a research feature to Claude that searches both internal and web-based content, using an agentic approach to run iterative queries, resolve open questions, and deliver well-sourced answers with citations.
A proposed federal bill…

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Healthcare AI News 3/19/25

Healthcare AI News 3/19/25

March 19, 2025HIStalk

News
[embedded content]
Nvidia releases GR00T N1, an open source foundation model for generalist humanoid robots.
[embedded content]
Google unveils new health-focused features at its The Check Up healthcare event:

What People Suggest, a new search…

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Canvas Medical Launches Hyperscribe, an Open Source AI Copilot for Clinicians

Canvas Medical Launches Hyperscribe, an Open Source AI Copilot for Clinicians

March 19, 2025HIT Consultant

What You Should Know:

– Canvas Medical, the EMR company accelerating everyday medicine, today announced the launch of Hyperscribe, an open source artificial intelligent (AI) copilot that uses ambient audio to write clinical documentation and…

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Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports

Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports

February 12, 2025February 12, 2025npj Digital Medicine

Recent advancements in large language models (LLMs) have created new ways to support radiological diagnostics. While both open-source and proprietary LLMs can address privacy concerns through local or cloud deployment, open-source models provide advantages…

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Open Source in Life Sciences: Balancing Innovation and Compliance

Open Source in Life Sciences: Balancing Innovation and Compliance

January 10, 2025January 10, 2025HIT Consultant

Christopher McSpiritt, Head of life sciences at Domino Data Lab

Data science teams in the life sciences industry are experiencing a significant change that will transform how clinical data is analyzed, opening the door to…

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OpenAI's general-purpose speech recognition model is flawed, researchers say

OpenAI’s general-purpose speech recognition model is flawed, researchers say

October 30, 2024October 30, 2024Healthcare IT news

The Associated Press reported recently that it has interviewed more than a dozen software engineers, developers and academic researchers who take issue with a claim by artificial intelligence developer OpenAI that one of its machine learning…

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Closing the gap between open source and commercial large language models for medical evidence summarization

Closing the gap between open source and commercial large language models for medical evidence summarization

September 9, 2024September 10, 2024npj Digital Medicine

Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and…

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NIST unveils new open source platform for AI safety assessments

NIST unveils new open source platform for AI safety assessments

August 2, 2024August 2, 2024Healthcare IT news

The freely-downloadable tool, called Dioptra, is designed to help artificial intelligence developers understand some unique data risks with AI models, and to help them “mitigate those risks while supporting innovation,” says NIST’s director.Nearly a…

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Meta Llama 3 on NVIDIA Boosts Healthcare Innovation with Open-Source AI

Meta Llama 3 on NVIDIA Boosts Healthcare Innovation with Open-Source AI

June 4, 2024June 5, 2024HIT Consultant

What You Should Know: 

– Meta’s open-source large language model, Meta Llama 3, is making significant waves in the healthcare and life sciences sectors. This cutting-edge technology, trained and optimized using NVIDIA’s accelerated computing, is…

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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

Recent Posts

  • How to Interpret Medical Research

    How to Interpret Medical Research

    June 1, 2025June 1, 2025Comments Off on How to Interpret Medical Research
  • A general framework for governing marketed AI/ML medical devices

    A general framework for governing marketed AI/ML medical devices

    June 1, 2025June 1, 2025Comments Off on A general framework for governing marketed AI/ML medical devices
  • Helping People Live Healthier: An Interview with RELIVE Health's Gina Iacovone

    Helping People Live Healthier: An Interview with RELIVE Health’s Gina Iacovone

    May 31, 2025June 1, 2025Comments Off on Helping People Live Healthier: An Interview with RELIVE Health’s Gina Iacovone
  • From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

    From trial data to personalized medicine: a validated framework with an application to Crohn’s disease

    May 31, 2025May 31, 2025Comments Off on From trial data to personalized medicine: a validated framework with an application to Crohn’s disease
  • Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

    Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention

    May 31, 2025May 31, 2025Comments Off on Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention
  • Global EHR Satisfaction 2025

    Global EHR Satisfaction 2025

    May 31, 2025May 31, 2025Comments Off on Global EHR Satisfaction 2025
  • Harnessing Hormonal Balance for a Healthier Life and Wellbeing

    Harnessing Hormonal Balance for a Healthier Life and Wellbeing

    May 31, 2025May 31, 2025Comments Off on Harnessing Hormonal Balance for a Healthier Life and Wellbeing
  • The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

    The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial

    May 31, 2025May 31, 2025Comments Off on The Effectiveness of the Be Prepared mHealth App on Recovery of Physical Functioning After Major Elective Surgery: Multicenter Randomized Controlled Trial
  • Q&A: Building nurses’ trust in AI through education

    Q&A: Building nurses’ trust in AI through education

    May 30, 2025May 31, 2025Comments Off on Q&A: Building nurses’ trust in AI through education
  • Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

    Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

    May 30, 2025May 31, 2025Comments Off on Healthcare Providers Face Over $770B Revenue Loss Under House Bill, Potentially Exceeding $1 Trillion with ACA Credit Expiration, Report Warns

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