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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: hemorrhage

Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM)

Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM)

October 16, 2025October 17, 2025npj Digital Medicine

Artificial intelligence (AI) tools for radiology are commonly unmonitored once deployed. The lack of real-time case-by-case assessments of AI prediction confidence requires users to independently distinguish between trustworthy and unreliable AI predictions, which increases…

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Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission

Prediction of functional outcomes in aneurysmal subarachnoid hemorrhage using pre-/postoperative noncontrast CT within 3 days of admission

August 24, 2025August 24, 2025npj Digital Medicine

Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition, and accurate prediction of functional outcomes is critical for optimizing patient management within the initial 3 days of presentation. However, existing clinical scoring systems and imaging…

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Robert F. Kennedy Jr. touts AI to address problems facing rural hospitals

Robert F. Kennedy Jr. touts AI to address problems facing rural hospitals

January 29, 2025January 30, 2025MobiHealthNews

At his confirmation hearing on Wednesday before the Senate Finance Committee, Robert F. Kennedy Jr., Trump’s controversial pick to lead the Health and Human Services, said rural hospitals will be a priority if he…

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Sense Neuro Diagnostics secures $2M contract for brain hemorrhage detection technology

Sense Neuro Diagnostics secures $2M contract for brain hemorrhage detection technology

November 6, 2024November 7, 2024MobiHealthNews

Sense Neuro Diagnostics, a medical technology company involved in improving outcomes for stroke and brain injuries, was awarded a $2 million contract by the Department of Defense (DoD), Congressionally Directed Medical Research Programs (CDMRP)…

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Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan

Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan

February 6, 2024February 6, 2024npj Digital Medicine

Hematoma expansion (HE) is a modifiable risk factor and a potential treatment target in patients with intracerebral hemorrhage (ICH). We aimed to train and validate deep-learning models for high-confidence prediction of supratentorial ICH expansion,…

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Why HHS’ Cybersecurity Concept Paper Falls Short for Healthcare | Healthcare IT Today

Why HHS’ Cybersecurity Concept Paper Falls Short for Healthcare | Healthcare IT Today

January 12, 2024January 12, 2024Healthcare IT Today

The following is a guest article by Chris Bowen, Founder and CISO at ClearDATA
The recent Cybersecurity concept paper from HHS, while a gesture towards progress, falls critically short of what’s imperative in today’s climate….

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Predictive Model Accurately Flags Postpancreatectomy Hemorrhage Risk

Predictive Model Accurately Flags Postpancreatectomy Hemorrhage Risk

December 12, 2023December 12, 2023Health IT Analytics

By Shania Kennedy

December 12, 2023 – Researchers have developed and validated a predictive model capable of identifying late postpancreatectomy hemorrhage (PPH) risk in patients with postoperative pancreatic fistula (cr-POPF) following pancreatoduodenectomy, according to a new…

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Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

November 30, 2023November 30, 2023npj Digital Medicine

Many areas of medicine would benefit from deeper, more accurate phenotyping, but there are limited approaches for phenotyping using clinical notes without substantial annotated data. Large language models (LLMs) have demonstrated immense potential to…

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RapidAI Receives FDA Clearance for Rapid SDH for Trauma Care

RapidAI Receives FDA Clearance for Rapid SDH for Trauma Care

November 10, 2023November 11, 2023HIT Consultant

What You Should Know: – RapidAI has received FDA clearance for Rapid SDH, its AI-powered module for the detection and notification of suspected hemispheric acute and chronic subdural hematoma. – The need for the…

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Implantable Sponge for Hemorrhage Monitoring and Control |

Implantable Sponge for Hemorrhage Monitoring and Control |

August 2, 2023August 3, 2023Medgadget

Researchers at the Terasaki Institute for Biomedical Innovation in California have developed an implantable sponge that can monitor for signs of a hemorrhage, and then help to control bleeding once it has occurred. The…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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