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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: LLMs

Using AI to Predict the Onset of Sepsis - Mayo Clinic Platform

Using AI to Predict the Onset of Sepsis – Mayo Clinic Platform

May 3, 2024May 3, 2024Digital Health Frontier

Several innovators have created algorithms to predict and manage this life-threatening complication.

By John Halamka, M.D., President, Mayo Clinic Platform and Paul Cerrato, MA, senior research analyst and communications specialist, Mayo Clinic Platform

The statistics are…

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LLMs are not ready to automate clinical coding, says Mount Sinai study

LLMs are not ready to automate clinical coding, says Mount Sinai study

May 1, 2024May 1, 2024Healthcare IT news

A new study from Mount Sinai suggests that using generative artificial intelligence to help with coding automation has some significant limitations.WHY IT MATTERS
For the research, Mount Sinai’s Icahn School of Medicine evaluated the potential application…

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Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

April 24, 2024April 24, 2024npj Digital Medicine

Large language models (LLMs) can potentially transform healthcare, particularly in providing the right information to the right provider at the right time in the hospital workflow. This study investigates the integration of LLMs into…

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Augmented non-hallucinating large language models as medical information curators

Augmented non-hallucinating large language models as medical information curators

April 23, 2024April 23, 2024npj Digital Medicine

Reliably processing and interlinking medical information has been recognized as a critical foundation to the digital transformation of medical workflows, and despite the development of medical ontologies, the optimization of these has been a…

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Embracing Generative AI and Large Language Models in Senior Care

Embracing Generative AI and Large Language Models in Senior Care

April 17, 2024April 18, 2024HealthTech Magazine

The Rise of Generative AI and LLMs
Generative AI and LLMs have captured the public’s interest and imagination for good reason. These technologies have the power to create content, from text to images and beyond,…

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ChatGPT's potential impact on preventative care and emergency visits

ChatGPT’s potential impact on preventative care and emergency visits

April 12, 2024April 12, 2024Healthcare IT news

ChatGPT has been making an impact on enduring healthcare challenges. Many providers and patients are reporting the artificial intelligence helping with preventative care and preventing non-emergent emergency department visits.Imran Qureshi is chief technology officer…

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Large Language Models Inch Their Way Toward Competence - Mayo Clinic Platform

Large Language Models Inch Their Way Toward Competence – Mayo Clinic Platform

March 25, 2024March 26, 2024Digital Health Frontier

The latest research suggests that these digital tools will eventually become useful medical assistants, but we still need to watch for unpredictable fabrications and misstatements.

By Paul Cerrato, MA, senior research analyst and communications specialist,…

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Google reveals new offerings, advancements in LLMs/AI during Check Up event

Google reveals new offerings, advancements in LLMs/AI during Check Up event

March 20, 2024March 21, 2024MobiHealthNews

Google made several announcements during its Check Up event on Tuesday, including the release of its new MedLM for Chest X-ray, advancements in personalization at Fitbit Labs and the release of its Skin Condition…

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UnityAI Secures $4 Million in Seed Funding to Revolutionize Hospital Flow | Healthcare IT Today

UnityAI Secures $4 Million in Seed Funding to Revolutionize Hospital Flow | Healthcare IT Today

March 14, 2024March 15, 2024Healthcare IT Today

Company will Apply AI Technologies Including Reinforcement Learning and LLMs to Optimize how Patients Flow through Hospitals
UnityAI, a healthcare technology startup founded by three seasoned engineers and data scientists with backgrounds at HCA Healthcare, a…

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John Halamka on the risks and benefits of clincial LLMs

John Halamka on the risks and benefits of clincial LLMs

March 13, 2024March 15, 2024Healthcare IT news

ORLANDO – At HIMSS24 on Tuesday, Dr. John Halamka, president of Mayo Clinic Platform offered a frank discussion about the substantial potential benefits – and very real potential for harm – in both predictive…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

Aaron Martin

Recent Posts

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

    February 1, 2026February 1, 2026Comments Off on Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
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    January 31, 2026February 1, 2026Comments Off on Weekly Roundup – January 31, 2026
  • Embedding clinical intelligence to help close care gaps

    Embedding clinical intelligence to help close care gaps

    January 31, 2026January 31, 2026Comments Off on Embedding clinical intelligence to help close care gaps
  • 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, 2026Comments Off on Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial
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    January 31, 2026January 31, 2026Comments Off on Meditech founder Neil Pappalardo dies at 83
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    The Landscape of Mobile Apps for Healthy Eating: Case Study for a Systematic Review and Quality Assessment

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