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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

FDA offers new draft guidance to developers of AI-enabled medical devices

FDA offers new draft guidance to developers of AI-enabled medical devices

January 6, 2025January 6, 2025Healthcare IT news

To support the continued development and marketing of safe and effective medical devices enhanced by artificial intelligence, the U.S. Food and Drug Administration will offer marketing submission recommendations, including the documentation and information needed…

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Generating unseen diseases patient data using ontology enhanced generative adversarial networks

Generating unseen diseases patient data using ontology enhanced generative adversarial networks

January 3, 2025January 3, 2025npj Digital Medicine

Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their…

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Contrasting rule and machine learning based digital self triage systems in the USA

Contrasting rule and machine learning based digital self triage systems in the USA

December 27, 2024December 27, 2024npj Digital Medicine

Patient smart access and self-triage systems have been in development for decades. As of now, no LLM for processing self-reported patient data has been published by health systems. Many expert systems and computational models…

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UVA Health RAMPs up AI and real-time analytics

UVA Health RAMPs up AI and real-time analytics

December 27, 2024December 27, 2024Healthcare IT news

Use of AI tools in healthcare has been accelerating, with growing trust in results produced and delivered by such tools.RAMP, one such tool already in action at UVA Health, focuses on delivering actionable, verifiable…

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'Music as medicine’ trialled for South Asian people with dementia

‘Music as medicine’ trialled for South Asian people with dementia

December 20, 2024December 20, 2024Digital Health

British health tech firm MediMusic and researchers from Anglia Ruskin University have been awarded £183,682 to investigate how AI technology and music can ease anxiety amongst people of South Asian backgrounds who are living…

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Human AI collaboration for unsupervised categorization of live surgical feedback

Human AI collaboration for unsupervised categorization of live surgical feedback

December 20, 2024December 20, 2024npj Digital Medicine

Formative verbal feedback during live surgery is essential for adjusting trainee behavior and accelerating skill acquisition. Despite its importance, understanding optimal feedback is challenging due to the difficulty of capturing and categorizing feedback at…

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Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions

December 18, 2024December 18, 2024npj Digital Medicine

Artificial intelligence promises to revolutionize mental health care, but small dataset sizes and lack of robust methods raise concerns about result generalizability. To provide insights on minimal necessary data set sizes, we explore domain-specific…

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Using AI and ML in predictive analytics for bed demand forecasting

Using AI and ML in predictive analytics for bed demand forecasting

December 17, 2024December 18, 2024Healthcare IT news

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability, and financial performance. Efforts to improve and streamline management often are isolated to regions within…

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Roundup: New tools aim to give clinicians what they need with AI

Roundup: New tools aim to give clinicians what they need with AI

December 12, 2024December 13, 2024Healthcare IT news

Artificial intelligence and machine learning have been enhancing and improving healthcare processes for years now. But the advent of generative AI and the refinement of predictive models, have ushered in a new era where…

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CHIME24: How Health Systems Can Bring IT and Clinical Teams Together

CHIME24: How Health Systems Can Bring IT and Clinical Teams Together

December 12, 2024December 12, 2024HealthTech Magazine

 Discover Your Core Competencies
Compared with other industries, healthcare has been perceived as lagging when it comes to adopting new technologies. But in recent years, it has really advanced in the areas of artificial intelligence…

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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.

Tony Ambrozie

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
  • What impact has healow had on your organization and the patients’ experience?

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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

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