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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: Lung Cancer

NHS AI and robot pilot to help detect lung cancer sooner

NHS AI and robot pilot to help detect lung cancer sooner

January 27, 2026January 27, 2026Digital Health

Dr Anne Rigg, medical director for cancer and surgery at Guy’s and St Thomas’ NHS Foundation Trust (Credit: Guy’s and St Thomas’ NHS Foundation Trust)

NHS England has launched an AI and robot pilot…

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How Horizon Health and Qure.ai Are Using AI to Catch “Incidental” Lung Cancer

How Horizon Health and Qure.ai Are Using AI to Catch “Incidental” Lung Cancer

December 17, 2025December 17, 2025HIT Consultant

What You Should Know: 

– Horizon Health Network, operating across New Brunswick, Canada, has partnered with global health tech leader Qure.ai to implement a comprehensive AI suite for lung cancer care. 

– The strategic collaboration is…

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Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO

Hierarchical reasoning for lung cancer detection: from multi-scale perception to hypergraph inference with CR-YOLO

November 27, 2025November 28, 2025npj Digital Medicine

Accurate detection of lung cancer from Computed Tomography (CT) scans is vital for improving patient survival but remains challenging for deep learning models, which struggle with scale variations of pulmonary nodules and the complex…

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Research progress in computer-aided diagnosis systems for lung cancer

Research progress in computer-aided diagnosis systems for lung cancer

November 26, 2025November 27, 2025npj Digital Medicine

Lung cancer remains the top cause of cancer death, demanding consistent decisions. This clinically oriented review synthesizes computer-aided diagnosis across classical imaging, machine learning, and deep learning, emphasizing bedside-proven advances: multimodal CT/PET–clinical fusion; small-data…

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Microsoft Partners with Qure.ai to Accelerate AI Lung Cancer Detection

Microsoft Partners with Qure.ai to Accelerate AI Lung Cancer Detection

November 18, 2025November 19, 2025HIT Consultant

What You Should Know:

– Qure.ai, a TIME100 most influential company and global leader in digital healthcare, today announced its collaboration with Microsoft. Qure.ai will onboard its end-to-end lung cancer detection, measurement and management suite of…

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Coreline Soft AI powers French national lung cancer pilot and more briefs

Coreline Soft AI powers French national lung cancer pilot and more briefs

November 14, 2025November 14, 2025MobiHealthNews

Coreline Soft AI powers French national lung cancer pilot and more briefs | MobiHealthNews

Skip to main content…

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How AI Is Poised to Cut Lung Cancer Mortality by Accelerating Early Detection

How AI Is Poised to Cut Lung Cancer Mortality by Accelerating Early Detection

October 23, 2025October 24, 2025HIT Consultant

Chris Wood, CEO of Reveal Dx

With lung cancer being the leading cause of cancer-related deaths worldwide, advancements in AI-powered healthcare technology are offering newfound hope. Over the span of the next few decades, AI…

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Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images

October 14, 2025October 14, 2025npj Digital Medicine

Efficient and accurate identification of genetic alterations of non-small cell lung cancer is a critical diagnostic process for targeted therapies. Utilizing advanced modern deep learning is a potential solution that can accurately predict genetic…

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Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases

Metagenomic fingerprints in bronchoalveolar lavage differentiate pulmonary diseases

October 7, 2025October 7, 2025npj Digital Medicine

Recent advances in unbiased metagenomic next-generation sequencing (mNGS) enable simultaneous examination of microbial and host genetic material. We developed a multimodal machine learning-based diagnostic approach to differentiate lung cancer and pulmonary infections by analyzing…

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Large language models forecast patient health trajectories enabling digital twins

Large language models forecast patient health trajectories enabling digital twins

October 1, 2025October 1, 2025npj Digital Medicine

Generative artificial intelligence is revolutionizing digital twin development, enabling virtual patient representations that predict health trajectories, with large language models (LLMs) showcasing untapped clinical forecasting potential. We developed the Digital Twin—Generative Pretrained Transformer (DT-GPT),…

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