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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: cancer

Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

July 22, 2025July 22, 2025npj Digital Medicine

Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…

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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images

July 19, 2025July 19, 2025npj Digital Medicine

This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole slide images (WSIs) for detecting microsatellite instability-high (MSI-H) in colorectal cancer (CRC). PubMed, Embase, and Web of Science were searched until January…

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Large language model integrations in cancer decision-making: a systematic review and meta-analysis

Large language model integrations in cancer decision-making: a systematic review and meta-analysis

July 18, 2025July 18, 2025npj Digital Medicine

Large Language Models (LLMs) are increasingly used to support cancer patients and clinicians in decision-making. This systematic review investigates how LLMs are integrated into oncology and evaluated by researchers. We conducted a comprehensive search…

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Great beginnings: innovators react to the 10 Year Health Plan for England

Great beginnings: innovators react to the 10 Year Health Plan for England

July 17, 2025July 17, 2025DigitalHealth.London

Two weeks have passed since the long-awaited 10 Year Health Plan for England was published, and its implications for the health and care system are slowly but surely starting to become clear.With a number…

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Northumbria Healthcare launches app to support cancer patients

Northumbria Healthcare launches app to support cancer patients

July 15, 2025July 15, 2025Digital Health

Northumbria Healthcare NHS Foundation Trust has launched an app to provide easy access to support and guidance for patients with cancer and their families.
The app, which launched on 25 June 2025, covers physical and…

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AI tool for cancer detection to be trialled at seven NHS hospitals

AI tool for cancer detection to be trialled at seven NHS hospitals

July 14, 2025July 14, 2025Digital Health

An AI-powered tool designed for prostate cancer detection, QP-Prostate by Quibim, has been selected for rollout across seven NHS hospitals in England.
This two-year initiative, announced on July 9, 2025, aims to enhance early diagnosis…

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New AI Model Predicts Cancer Mutations from Routine Pathology Slides, Streamlining Treatment Decisions

New AI Model Predicts Cancer Mutations from Routine Pathology Slides, Streamlining Treatment Decisions

July 11, 2025July 12, 2025HIT Consultant

Credit: Campanella, et al., Nature Medicine

What You Should Know: 

– A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence…

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Ryght Partners w/ Emory Cancer Institute for AI-powered Clinical Trials

Ryght Partners w/ Emory Cancer Institute for AI-powered Clinical Trials

July 11, 2025July 12, 2025HIT Consultant

What You Should Know: 

– Ryght AI, a provider of real-time generative AI healthcare technology for clinical research, today announced that the prestigious Winship Cancer Institute of Emory University has joined its unique Ryght Research…

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Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

July 11, 2025July 11, 2025npj Digital Medicine

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for…

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NHS SE London uses data to plan women’s and girls’ health hubs

NHS SE London uses data to plan women’s and girls’ health hubs

July 10, 2025July 10, 2025Digital Health

Map showing potential hub sites and the areas that can reach these hubs within 30 minutes by public transport (Credit: NHS South East London)

NHS South East London has identified the best sites for…

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The vaccine rollout process is a classic case study for successful projects requiring "people, process and technology." In this equation, the technology infrastructure of an electronic health record and network connectivity seem to be sufficient at most health systems and communities to support the cause. As a result, the most crucial elements to enable success is the project leadership and teamwork amongst all segments of the healthcare delivery system (people and process).

Michael Restuccia

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