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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: Machine Learning

Rula Health, Curai Health Partner to Expand Mental Healthcare Access

Rula Health, Curai Health Partner to Expand Mental Healthcare Access

May 6, 2025HIT Consultant

What You Should Know:

– Curai Health, a virtual primary care provider, today announced a partnership with Rula Health, a national behavioral healthcare provider group that delivers high-quality mental healthcare.

– This collaboration will provide Curai patients access to…

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Advancing cardiovascular care through actionable AI innovation

Advancing cardiovascular care through actionable AI innovation

May 6, 2025npj Digital Medicine

Despite significant advances, the prevention and management of cardiovascular disease remain challenging, especially for ischemic heart disease (IHD). Current clinical decision-making relies heavily on physician expertise, guideline-directed therapies, and static risk scores, which often…

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A systematic review of quantum machine learning for digital health

A systematic review of quantum machine learning for digital health

May 2, 2025npj Digital Medicine

The growth in digitization of health data provides opportunities for using algorithmic techniques for data analysis. This systematic review assesses whether quantum machine learning (QML) algorithms outperform existing classical methods for clinical decisioning or…

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AI project aims to reduce disability caused by strokes

AI project aims to reduce disability caused by strokes

May 1, 2025Digital Health

A research project from the University of Exeter is using AI and machine learning to personalise stroke care for patients in a bid to reduce future disability.
Stroke is a leading cause of death and…

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RSA cybersecurity roundup: New tools to detect deepfakes, encrypt exfiltration and more

RSA cybersecurity roundup: New tools to detect deepfakes, encrypt exfiltration and more

April 29, 2025Healthcare IT news

Vendors at this week’s RSA Conference in San Francisco are rolling out agentic artificial intelligence infusions embedded in cybersecurity platforms, new AI firewalls, cloud protection tools and other products that aim to stay ahead…

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Using Social Media to Recruit a Diverse Sample of Participants for a Mobile Health (mHealth) Intervention to Increase Physical Activity: Exploratory Study

Using Social Media to Recruit a Diverse Sample of Participants for a Mobile Health (mHealth) Intervention to Increase Physical Activity: Exploratory Study

April 29, 2025JMIR mHealth and uHealth

Background: Recruitment of demographically diverse samples in clinical research is often challenging and even more so during the COVID-19 pandemic when traditional, in-person recruitment methods could not be implemented. Social media platforms offer an…

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Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study

April 28, 2025npj Digital Medicine

Septic shock is one of the most lethal conditions in ICU, and early risk prediction may help reduce mortality. We developed a TOPSIS-based Classification Fusion (TCF) model to predict mortality risk in septic shock…

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Bayer Leverages ConcertAI’s Translational360™ Platform for AI-Driven Oncology

Bayer Leverages ConcertAI’s Translational360™ Platform for AI-Driven Oncology

April 25, 2025HIT Consultant

What You Should Know:

– ConcertAI announced a multi-year agreement with Bayer to leverage ConcertAI’s Translational360™ and AI SaaS solutions, which use artificial intelligence and machine learning (AI/ML)-derived insights to accelerate clinical development in precision…

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Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data

Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data

April 25, 2025npj Digital Medicine

The climate crisis underscores the need for weather-based predictive analytics in healthcare, as weather factors contribute to ~11% of the global stroke burden. Therefore, we developed machine learning models using locoregional weather data to…

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How AIOps Can Help Healthcare IT Teams

How AIOps Can Help Healthcare IT Teams

April 23, 2025HealthTech Magazine

As an organization’s IT environment grows, so does its need to efficiently manage data, applications, networks and other intricate components of modern systems.
Many organizations are growing so fast that their IT operations teams struggle…

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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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    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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  • 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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