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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: radiologists

12 Years of Priors, AI-Driven Insights, and More from Fujifilm

12 Years of Priors, AI-Driven Insights, and More from Fujifilm

February 11, 2025February 11, 2025Healthcare IT Today

At RSNA24, Fujifilm unveiled major updates to its enterprise imaging platform, including a high-speed viewer, AI orchestration, and new mammography tools. In this interview, Sara Osberger and Jeanmarie Rogers break down how Fujifilm is…

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Is prediction the next frontier for artificial intelligence?

Is prediction the next frontier for artificial intelligence?

February 5, 2025February 6, 2025Healthcare IT news

Today, artificial intelligence is being used across healthcare for administrative tasks, such as improving medical coding, and for certain clinical use cases, such as enhancing radiologists’ reviews of diagnostic imagery.Here and there, though, some…

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Government launches AI breast cancer trial

Government launches AI breast cancer trial

February 4, 2025February 4, 2025Digital Health

The government has announced the launch of a trial that will test how AI tools can be used to detect cases of breast cancer earlier.
The Department of Health and Social Care (DHSC) confirmed that…

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Rad AI scores $60M, boosting its valuation to $525M

Rad AI scores $60M, boosting its valuation to $525M

January 30, 2025January 31, 2025MobiHealthNews

California-based Rad AI, a generative AI radiology workflow company, has secured $60 million in an oversubscribed Series C funding round, which brings the company’s total raise to more than $140 million and bumps up…

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Rad AI Secures $60M for Generative AI Solutions for Radiology

Rad AI Secures $60M for Generative AI Solutions for Radiology

January 30, 2025January 30, 2025HIT Consultant

What You Should Know:

–  Rad AI, one of the fastest-growing healthcare AI companies and the first to develop a large language model in healthcare, today announced a $60M Series C. The oversubscribed round was led…

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When Radiology Goes Dark: How Radiologists Can Take the Lead During a Cybersecurity Incident

When Radiology Goes Dark: How Radiologists Can Take the Lead During a Cybersecurity Incident

January 30, 2025January 30, 2025Healthcare IT Today

When critical radiology systems are down due to a cyberattack or a maintenance issue, the impact on patient care can be immediate and significant.In this interview, Dr. Raj Chopra, Chief Medical Officer at Merge…

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Mercy to Deploy Aidoc's AI-Powered Imaging Platform

Mercy to Deploy Aidoc’s AI-Powered Imaging Platform

January 29, 2025January 30, 2025HIT Consultant

What You Should Know: 

– Mercy Health System, a healthcare provider, is transforming its imaging services with the help of Aidoc’s aiOS™ platform. 

– The AI-powered solution provides an additional layer of review for diagnostic imaging,…

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The use of large language models in detecting Chinese ultrasound report errors

The use of large language models in detecting Chinese ultrasound report errors

January 28, 2025January 29, 2025npj Digital Medicine

This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories…

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Precision in Practice: RapidAI’s Unique Approach to Clinical AI

Precision in Practice: RapidAI’s Unique Approach to Clinical AI

January 24, 2025January 25, 2025Healthcare IT Today

RapidAI is improving clinical workflows by creating AI tools designed with radiologists and clinicians in mind.In this interview with Healthcare IT Today, Amit Phadnis, Chief Innovation & Technology Officer at RapidAI, shares the company’s…

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AI models show numerous applications and benefits for radiology

AI models show numerous applications and benefits for radiology

January 22, 2025January 23, 2025Healthcare IT news

As artificial intelligence evolves and advances the ways in which clinicians care for patients, there will be new impacts on outpatient radiology technology.Already, AI in outpatient radiology enhances radiology screenings by boosting the detection…

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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.

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