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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: application

Australia ‘unprepared’ to handle risks of AI-powered health system

Australia ‘unprepared’ to handle risks of AI-powered health system

December 1, 2023December 2, 2023Healthcare IT news

While Australia is capable of becoming a global leader in the application of AI in healthcare, it still has heaps of work to do to harness the full benefits of the technology.Its healthcare AI…

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RSNA23: GE HealthCare leverages AI, data integration for patient care

RSNA23: GE HealthCare leverages AI, data integration for patient care

November 30, 2023December 1, 2023MobiHealthNews

GE HealthCare is leveraging AI and data integration technologies to help tackle the rapidly increasing volume of patient data and working to optimize the application of these two tech tools in patient care in…

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An optimization framework to guide the choice of thresholds for risk-based cancer screening

An optimization framework to guide the choice of thresholds for risk-based cancer screening

November 29, 2023November 29, 2023npj Digital Medicine

It is uncommon for risk groups defined by statistical or artificial intelligence (AI) models to be chosen by jointly considering model performance and potential interventions available. We develop a framework to rapidly guide choice…

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Guarding Patient Privacy in the Age of AI Healthcare

Guarding Patient Privacy in the Age of AI Healthcare

November 27, 2023November 27, 2023HIT Consultant

Kevin Kirkwood, Deputy CISO, LogRhythm

2022 research from Morning Consult reveals that the healthcare field in particular has witnessed substantial enhancements in medical diagnoses, mental health evaluations, and the expeditious discovery of treatment options following…

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HOPPR Launches Foundation AI Model for Medical Imaging

HOPPR Launches Foundation AI Model for Medical Imaging

November 27, 2023November 28, 2023HIT Consultant

What You Should Know:

– HOPPR, a company developing artificial intelligence (AI) solutions for medical imaging, has announced the launch of Grace, a multimodal foundation model that enables image-to-image and text-to-image learning across all medical…

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The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review

The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review

November 27, 2023November 27, 2023npj Digital Medicine

Machine learning and deep learning are two subsets of artificial intelligence that involve teaching computers to learn and make decisions from any sort of data. Most recent developments in artificial intelligence are coming from…

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AWS, Hoppr Launch Model to Accelerate Generative AI Tools in Medical Imaging - MedCity News

AWS, Hoppr Launch Model to Accelerate Generative AI Tools in Medical Imaging – MedCity News

November 27, 2023November 27, 2023MedCity News

AI startup Hoppr teamed up with AWS to launch a new foundation model to help bring more generative AI solutions into medical imaging, the companies announced on Sunday at RSNA 2023, the annual radiology…

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Digital health application integrating wearable data and behavioral patterns improves metabolic health

Digital health application integrating wearable data and behavioral patterns improves metabolic health

November 25, 2023November 25, 2023npj Digital Medicine

The effectiveness of lifestyle interventions in reducing caloric intake and increasing physical activity for preventing Type 2 Diabetes (T2D) has been previously demonstrated. The use of modern technologies can potentially further improve the success…

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CISA Releases Healthcare Cybersecurity Vulnerability Mitigation Guide

CISA Releases Healthcare Cybersecurity Vulnerability Mitigation Guide

November 22, 2023November 23, 2023Health IT Security

By Jill McKeon

November 22, 2023 – The Cybersecurity and Infrastructure Security Agency (CISA) issued a cybersecurity vulnerability mitigation guide for the healthcare sector, stressing the importance of remediating known vulnerabilities and reducing risk across the…

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Hybrid Cloud in Healthcare: Tips for Management and Security

Hybrid Cloud in Healthcare: Tips for Management and Security

November 21, 2023November 21, 2023HealthTech Magazine

The Benefits of Hybrid Cloud for HealthcareAn on-premises infrastructure works well for critical care and collecting immediate feedback from ICU patients, while video-heavy telehealth and electronic health record platforms reside in the cloud, says…

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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

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