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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: Learning

Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens

Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens

November 19, 2025November 19, 2025npj Digital Medicine

Colorectal cancer recurrence remains a major challenge after curative resection, and accurate tools for early risk assessment are essential to stratify patients and guide personalized therapeutic planning. We developed MPMRecNet, a dual-stream deep learning…

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A novel AI-powered radiographic analysis surpasses specialists in stage II–IV periodontitis detection: a multicenter diagnostic study

A novel AI-powered radiographic analysis surpasses specialists in stage II–IV periodontitis detection: a multicenter diagnostic study

November 19, 2025November 19, 2025npj Digital Medicine

Missed periodontitis diagnoses are common, and AI dental radiography systems based on clinical standards can enhance reliable detection. We introduce and evaluate HC-Net+, a deep-learning model that mimics clinical pathways while integrating localized tooth…

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Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

November 18, 2025November 19, 2025npj Digital Medicine

While chronological age is a universal risk predictor across most populations and diseases, distinguishing between biologically older from younger individuals may identify individuals with accelerated or delayed cardiovascular aging. This study presents a deep…

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Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction

Enhancing post-kidney transplant prognostication: an interpretable machine learning approach for longitudinal outcome prediction

November 18, 2025November 19, 2025npj Digital Medicine

Kidney transplantation offers life-extending treatment for patients with end-stage renal disease, yet long-term risks of graft loss and death persist. Traditional prediction models using only baseline data often fail to capture patients’ evolving health…

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Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysis

Ensemble learning approaches for early prediction of chronic kidney disease based on polysomnographic phenotype analysis

November 18, 2025November 18, 2025npj Digital Medicine

This study presents an ensemble learning approach for automated screening and severity classification of chronic kidney disease (CKD) using polysomnographic (PSG) phenotypes. We analyzed PSG data from 358 subjects (179 CKD, 179 early-CKD) in…

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Advancing the frontier of rare disease modeling: a critical appraisal of in silico technologies

Advancing the frontier of rare disease modeling: a critical appraisal of in silico technologies

November 17, 2025November 18, 2025npj Digital Medicine

Rare diseases affect over 300 million people worldwide and pose unique research challenges. In silico approaches, such as mechanistic models, machine learning, and simulations, offer scalable tools for disease characterisation, drug discovery, and virtual…

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Effect of Mobile Augmented Reality Counseling on Improving Shared Decision-Making in Thoracic Surgery: Randomized Clinical Crossover Trial

Effect of Mobile Augmented Reality Counseling on Improving Shared Decision-Making in Thoracic Surgery: Randomized Clinical Crossover Trial

November 14, 2025November 14, 2025JMIR mHealth and uHealth

Background: Augmented reality (AR) superimposes virtual objects onto a real-world environment, allowing users to interact in real time. As AR has become widely used, its integration into smartphones or tablets has enabled mobile augmented…

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From retina to brain: how deep learning closes the gap in silent stroke screening

From retina to brain: how deep learning closes the gap in silent stroke screening

November 14, 2025November 14, 2025npj Digital Medicine

Silent brain infarctions (SBIs), affecting 20% of adults and increasing stroke risk, evade routine MRI screening. While retinal scans offer a “window to the brain,” prior AI failed to simultaneously detect SBIs and predict…

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AISAP Launches FDA-Cleared Platform in Ghana to Solve Cardiologist Shortage

AISAP Launches FDA-Cleared Platform in Ghana to Solve Cardiologist Shortage

November 13, 2025November 14, 2025HIT Consultant

What You Should Know:

– AISAP, an AI Point-of-Care Diagnostics company, announced a landmark field initiative in Ghana to deploy its FDA-cleared AI-powered cardiac diagnosis platform. This program directly addresses the profound challenge of healthcare…

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AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model

AI-driven prediction of progression to oral squamous cell carcinoma using a multiresolution pathology model

November 13, 2025November 14, 2025npj Digital Medicine

Potentially malignant oral lesions are visible mucosal changes with risk of progressing to squamous cell carcinoma. These lesions are currently graded as no, mild, moderate, or severe dysplasia per WHO guidelines. While widely used,…

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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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