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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: diagnosis

FDA Grants Paige Breakthrough Designation for Cancer Detection

FDA Grants Paige Breakthrough Designation for Cancer Detection

October 31, 2023October 31, 2023DistilINFO Hospital IT

Paige, a global leader in digital pathology solutions, has received the FDA’s Breakthrough Device Designation for Paige Lymph Node. This AI application is a pioneering tool for detecting breast cancer metastases in lymph nodes….

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New £100M fund to use AI's potential in life sciences and healthcare

New £100M fund to use AI’s potential in life sciences and healthcare

October 30, 2023October 30, 2023Digital Health

In a speech on Thursday, the Prime Minister announced that a £100 million in new government investment will be targeted towards areas where rapid deployment of Earlier this month, the DHSC said it will…

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Why AI Can Potentially Revolutionize Breast Cancer Detection

Why AI Can Potentially Revolutionize Breast Cancer Detection

October 30, 2023October 30, 2023HIT Consultant

Teri Thomas, CEO and Managing Director at Volpara Health

Breast cancer awareness is essential for early detection, which is critical for improving survival rates and reducing the burden of this disease. October is Breast Cancer…

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8 Ways AI Will Transform The Future of Healthcare

8 Ways AI Will Transform The Future of Healthcare

October 30, 2023October 30, 2023HIT Consultant

Palak Shah, Co-Founder and Head of Clinical Operations at Luna

The accelerating advances in Artificial Intelligence (AI) have ignited a new era of innovation and potential across various industries. Healthcare is a sector that stands…

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The current status and future potential of AI in medical imaging

The current status and future potential of AI in medical imaging

October 29, 2023October 29, 2023Omnia Health Insights

Medical imaging is an indispensable tool in modern healthcare, enabling clinicians to visualise internal structures and diagnose a wide range of medical conditions. The integration of artificial intelligence (AI) into medical imaging has led…

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NUS Medicine to Introduce Holographic GI Training Module

NUS Medicine to Introduce Holographic GI Training Module

October 27, 2023October 27, 2023DistilINFO Hospital IT

NUS Medicine has partnered with GigXR to introduce a cutting-edge holographic mixed reality (MR) training module for acute gastrointestinal disease diagnosis and treatment. Fujitsu and Toppan have joined forces to offer advanced big data…

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Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application

Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application

October 27, 2023October 27, 2023npj Digital Medicine

WHO grade II and III gliomas demonstrate diverse biological behaviors resulting in variable survival outcomes. In the context of glioma prognosis, machine learning (ML) approaches could facilitate the navigation through the maze of factors…

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A scoping review of artificial intelligence-based methods for diabetes risk prediction

A scoping review of artificial intelligence-based methods for diabetes risk prediction

October 26, 2023October 26, 2023npj Digital Medicine

The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health complications highlight the need to develop predictive models for early diagnosis and intervention. While many artificial intelligence (AI) models for T2DM…

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Healthcare AI News 10/25/23 – HIStalk

Healthcare AI News 10/25/23 – HIStalk

October 25, 2023October 26, 2023HIStalk

News
Washington University in St. Louis launches the AI for Health Institute, which will involve a collaboration of its engineering and medical schools.
NPR Shots covers doctors using AI for diagnosis, including a Mass General…

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CT Scans Advance to MRI-Level Quality with AI

CT Scans Advance to MRI-Level Quality with AI

October 23, 2023October 23, 2023DistilINFO Hospital IT

A groundbreaking method developed by the University of Gothenburg bridges the diagnostic gap between CT and MRI scans. Utilizing AI, this innovative software enhances CT images to rival the quality of MRI scans, particularly…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

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