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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: Natural Language Processing

Demystifying Machine Learning

Demystifying Machine Learning

March 12, 2025Digital Health Frontier

In this new series, we pull back the curtain on the Wizard of Oz to provide plain English explanations about machine learning, artificial neural networks, natural language processing, large language models, and related technology.

By Paul…

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Microsoft to put clinical productivity onstage at HIMSS25

Microsoft to put clinical productivity onstage at HIMSS25

March 3, 2025March 4, 2025Healthcare IT news

Front and center at Microsoft booth (#2221) at HIMSS25 in Las Vegas is the launch of Microsoft Dragon Copilot, which the company said is the first unified copilot and voice assistant tool clinicians can…

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Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

Natural language processing of electronic health records for early detection of cognitive decline: a systematic review

March 1, 2025March 2, 2025npj Digital Medicine

This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…

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Continuous multimodal data supply chain and expandable clinical decision support for oncology

Continuous multimodal data supply chain and expandable clinical decision support for oncology

February 27, 2025March 2, 2025npj Digital Medicine

The study introduces a clinical decision support system (CDSS) developed at a single academic cancer center, integrating real-time clinical, genomic, and imaging data for over 170,000 patients across 11 cancer types. We have developed…

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For ENT practice, ambient listening tech expected to boost efficiency and reduce scribes

For ENT practice, ambient listening tech expected to boost efficiency and reduce scribes

February 12, 2025February 12, 2025Healthcare IT news

Albany ENT & Allergy Services faced a persistent challenge: balancing high-quality patient care with the overwhelming administrative burden of documentation.THE CHALLENGE
Traditional EHR systems, while essential, required manual entry and meticulous note-taking that pulled clinicians…

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Unlocking the Future of Health IT: Insights from Jeremy Dähn

Unlocking the Future of Health IT: Insights from Jeremy Dähn

January 30, 2025January 31, 2025HIMSS

How is AI changing healthcare? Jeremy Dähn shares how generative AI and tools like natural language processing are revolutionizing unstructured healthcare data, unlocking actionable insights and driving innovation.Want to be part of the global…

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A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit

January 30, 2025January 30, 2025npj Digital Medicine

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive…

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A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs

A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs

January 28, 2025January 29, 2025npj Digital Medicine

Rare diseases, affecting ~350 million people worldwide, pose significant challenges in clinical diagnosis due to the lack of experienced physicians and the complexity of differentiating between numerous rare diseases. To address these challenges, we…

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A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety

A pathway from fragmentation to interoperability through standards-based enterprise architecture to enhance patient safety

January 18, 2025January 18, 2025npj Digital Medicine

Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety…

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Veradigm Enhances EHR Database with SDoH and Mortality Data

Veradigm Enhances EHR Database with SDoH and Mortality Data

January 13, 2025January 14, 2025HIT Consultant

What You Should Know: 

– Veradigm (OTCMKTS: MDRX), a leading provider of healthcare data and technology solutions, announced a significant expansion of its Veradigm Network EHR (VNEHR) Data with the integration of social determinants of…

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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

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    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

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  • 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

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