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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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Category: Frequent Updates

Pakistan explores AGI use in diagnostics, nurses' training

Pakistan explores AGI use in diagnostics, nurses’ training

May 27, 2025May 27, 2025Healthcare IT news

Pakistan is exploring the application of artificial general intelligence, AI that possesses human-like intelligence to perform intellectual tasks, in diagnostics and nursing training.The Pakistan Nursing and Midwifery Council (PNMC), which licenses nurses, midwives, lady…

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New AI-powered smart robots deployed at Mackay Memorial Hospital

New AI-powered smart robots deployed at Mackay Memorial Hospital

May 27, 2025May 27, 2025Healthcare IT news

New smart robots supporting logistics, safety, and patient experience have been unveiled at MacKay Memorial Hospital in Taiwan.The 1,200-bed private Christian hospital in Taipei has collaborated with cloud and AI technology provider Ubitus to…

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Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy

Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy

May 27, 2025May 27, 2025npj Digital Medicine

This is a multi-institutional study to evaluate a head-and-neck CT auto-segmentation software across seven institutions globally. 11 lymph node levels and 7 organs-at-risk contours were evaluated in a two-phase study design. Time savings were…

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Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study

Feasibility and Effects of a Gait Assistance and Gait Resistance Training Program Using a Walking-Assist Wearable Robot for Community-Dwelling Older Adults: Single-Group, Pre-, and Posttest Study

May 27, 2025May 27, 2025JMIR mHealth and uHealth

Background: Two-thirds of people aged 65 and older require help with daily activities such as eating, bathing, and getting in and out of bed or a chair. Walking-assist wearable robots have shown significant improvements…

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Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment

Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment

May 26, 2025May 26, 2025JMIR mHealth and uHealth

Background: The adoption of high-quality health apps has been slow, despite the myriad benefits associated with their use. This is partly due to concerns regarding the effectiveness, safety, and data privacy of such apps….

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A systematic review of clinicians’ acceptance and use of clinical decision support systems over time

A systematic review of clinicians’ acceptance and use of clinical decision support systems over time

May 26, 2025May 26, 2025npj Digital Medicine

Existing reviews have identified factors influencing Clinical Decision Support (CDS) adoption by clinicians in practice but overlook the dynamic and evolving nature of technology and users’ needs over time. This review aimed to identify…

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Agile evaluation including two pragmatic trials on the uptake of a digital screening service

Agile evaluation including two pragmatic trials on the uptake of a digital screening service

May 26, 2025May 26, 2025npj Digital Medicine

Digital screening may divert lower-risk persons to lower-cost online screening, or offer higher-risk non-responders a more acceptable alternative. Population-based uptake estimates are lacking. We conducted four studies within four weeks by inviting 1700 Londoners…

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Human-centred healthcare leadership in the age of AI

Human-centred healthcare leadership in the age of AI

May 26, 2025May 26, 2025Healthcare IT news

Adjusting leadership approaches may be key to further unlock digital technologies’ potential in improving organisational processes amid the continuing shortfall in health workers worldwide, according to a renowned leadership coach. Frank Koo, the founder of…

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National Taiwan University Hospital fully deploys pancreatic cancer imaging AI

National Taiwan University Hospital fully deploys pancreatic cancer imaging AI

May 26, 2025May 26, 2025Healthcare IT news

National Taiwan University Hospital has recently launched a new AI-powered diagnostic imaging service for pancreatic cancer.Offered as a self-pay service at the NTUH Department of Medical Imaging since late 2024, it features an AI…

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National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

May 26, 2025May 26, 2025Healthcare IT news

The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction.SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system that can automatically interpret heart image scans…

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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

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
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