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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: Natural Language Processing

The DRAGON benchmark for clinical NLP

The DRAGON benchmark for clinical NLP

May 17, 2025May 17, 2025npj Digital Medicine

Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…

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Monitoring the opioid epidemic via social media discussions

Monitoring the opioid epidemic via social media discussions

May 15, 2025May 18, 2025npj Digital Medicine

The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is…

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What Is Agentic AI and How Can It Be Used in Healthcare?

What Is Agentic AI and How Can It Be Used in Healthcare?

May 9, 2025HealthTech Magazine

What Is Agentic AI?
Like other forms of artificial intelligence, agentic AI is only as accurate as the data that fuels it. It relies on “a digital ecosystem of large language models (LLMs), machine learning…

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Weakly supervised language models for automated extraction of critical findings from radiology reports

Weakly supervised language models for automated extraction of critical findings from radiology reports

May 8, 2025npj Digital Medicine

Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…

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Demystifying Natural Language Processing

Demystifying Natural Language Processing

May 1, 2025Digital Health Frontier

NLP enables humans and computers to communicate in ways never imagined a few short years ago. The results have practical implications for anyone working in healthcare.

By John Halamka, M.D., M.S., Diercks President, Mayo Clinic…

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High-precision information retrieval for rapid clinical guideline updates

High-precision information retrieval for rapid clinical guideline updates

April 27, 2025npj Digital Medicine

Delays in translating new medical evidence into clinical practice hinder patient access to the best available treatments. Our data reveals an average delay of nine years from the initiation of human research to its…

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Artificial intelligence tools in supporting healthcare professionals for tailored patient care

Artificial intelligence tools in supporting healthcare professionals for tailored patient care

April 16, 2025npj Digital Medicine

Artificial intelligence (AI) tools to support clinicians in providing patient-centered care can contribute to patient empowerment and care efficiency. We aimed to draft potential AI tools for tailored patient support corresponding to patients’ needs…

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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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