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Artera secures $65M and more digital health funding news

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Integrated Health Partners closes 40,000 care gaps with analytics

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Tech execs gain power and influence, chart paths toward growth

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If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

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Tag: Large Language Models

Using a fine-tuned large language model for symptom-based depression evaluation

Using a fine-tuned large language model for symptom-based depression evaluation

October 7, 2025October 8, 2025npj Digital Medicine

Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict…

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The evaluation illusion of large language models in medicine

The evaluation illusion of large language models in medicine

October 7, 2025October 7, 2025npj Digital Medicine

While large language models (LLMs) hold promise for transforming clinical healthcare, current comparisons and benchmark evaluations of large language models in medicine often fail to capture real-world efficacy. Specifically, we highlight how key discrepancies…

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A longitudinal analysis of declining medical safety messaging in generative AI models

A longitudinal analysis of declining medical safety messaging in generative AI models

October 2, 2025October 2, 2025npj Digital Medicine

Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions. However, their responses often include inaccuracies; therefore, safety measures like medical…

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Large language models forecast patient health trajectories enabling digital twins

Large language models forecast patient health trajectories enabling digital twins

October 1, 2025October 1, 2025npj Digital Medicine

Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…

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Operationalizing machine-assisted translation in healthcare

Operationalizing machine-assisted translation in healthcare

September 30, 2025October 1, 2025npj Digital Medicine

Over 25 million U.S. patients with a non-English language preference face unsafe care because discharge instructions and other materials are rarely translated in time. Advances in translation assisted by large language models can close…

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Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications

Optimizing large language models for detecting symptoms of depression/anxiety in chronic diseases patient communications

September 30, 2025September 30, 2025npj Digital Medicine

Patients with diabetes are at increased risk of comorbid depression or anxiety, complicating their management. This study evaluated the performance of large language models (LLMs) in detecting these symptoms from secure patient messages. We…

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AI-Powered Honeypots Give Healthcare Organizations a Leg Up on Attackers

AI-Powered Honeypots Give Healthcare Organizations a Leg Up on Attackers

September 19, 2025September 20, 2025HealthTech Magazine

“Using data sets of attacker-generated commands and responses, these models are trained to mimic server behaviors convincingly. Techniques such as supervised fine-tuning, prompt engineering and low-rank adaptations help tailor these models for specific tasks,”…

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Why Some Workloads Are Coming Home: The Case for Cloud Repatriation in Healthcare

Why Some Workloads Are Coming Home: The Case for Cloud Repatriation in Healthcare

September 5, 2025September 6, 2025HealthTech Magazine

The Driving Force Behind Cloud Repatriation
Although only 8%-9% of organizations intend to implement full workload repatriation, the cost and regulatory challenges driving the trend are real, according to IDC’s recent Server and Storage Workloads…

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AI outperforms GPs in MRCGP exams, finds study

AI outperforms GPs in MRCGP exams, finds study

August 27, 2025August 27, 2025Digital Health

Professor Kamila Hawthorne, chair of the Royal College of GPs (Credit: Grainge Photography)

A study has suggested that AI should be used to support the delivery of primary care, after chatbots outperformed GPs based…

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Graph retrieval augmented large language models for facial phenotype associated rare genetic disease

Graph retrieval augmented large language models for facial phenotype associated rare genetic disease

August 24, 2025August 24, 2025npj Digital Medicine

Many rare genetic diseases have recognizable facial phenotypes that serve as diagnostic clues. While Large Language Models (LLMs) have shown potential in healthcare, their application to rare genetic diseases still faces challenges like hallucination…

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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

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    Artera secures $65M and more digital health funding news

    December 5, 2025December 5, 2025Comments Off on Artera secures $65M and more digital health funding news
  • "Behind every document, there’s a patient in need of care.”

    “Behind every document, there’s a patient in need of care.”

    December 5, 2025December 6, 2025Comments Off on “Behind every document, there’s a patient in need of care.”
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  • If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

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    December 5, 2025December 5, 2025Comments Off on If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck
  • African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight

    African digital health strategic plans analysis: key weaknesses in contextualization, intervention focus, and technological foresight

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  • AstraZeneca Selects Salesforce Agentforce Life Sciences to Deploy AI-Powered Global Customer Engagement

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  • Hospitals to shift from clinical to back-office AI applications

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    Beyond Stereotypes: 3 Ways Empathetic Outreach Can Drive Medicaid Member Engagement and Retention Post-OBBA

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