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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: Radiotherapy

Leo Cancer Care Secures $40M to Commercialize Upright Radiotherapy System

Leo Cancer Care Secures $40M to Commercialize Upright Radiotherapy System

September 24, 2025September 25, 2025HIT Consultant

What You Should Know: 

– Leo Cancer Care, a pioneer in radiotherapy treatment devices, has successfully raised $40M in funding round led by Catalio Capital Management. 

– The investment, which also saw participation from new and…

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Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI

Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI

August 7, 2025August 7, 2025npj Digital Medicine

The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiation therapy (RT) in patients with glioblastoma still employs an isotropic 1–2 cm expansion of the T2-hyperintensity lesion, without considering the heterogeneous…

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Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study

Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study

August 4, 2025August 4, 2025npj Digital Medicine

For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018…

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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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Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma

Multimodal fusion model for prognostic prediction and radiotherapy response assessment in head and neck squamous cell carcinoma

May 23, 2025May 24, 2025npj Digital Medicine

Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalized treatment in head and neck squamous cell carcinoma (HNSCC). We developed a multimodal deep learning model (MDLM) integrating computed tomography, whole-slide images,…

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The Royal Marsden uses radiotherapy tech to improve cancer care

The Royal Marsden uses radiotherapy tech to improve cancer care

May 15, 2025May 18, 2025Digital Health

An advanced radiotherapy planning system has been rolled out at The Royal Marsden NHS Foundation Trust to enhance personalised treatment for patients.
RaySearch Laboratories’  technology introduces online adaptive radiotherapy (oART), which enables clinicians to adjust…

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A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy

A noninvasive realtime body position monitoring system for the entire course of tumor radiotherapy

March 3, 2025March 4, 2025npj Digital Medicine

In tumor radiotherapy, monitoring patient body position is crucial for improving efficacy and reducing complications. We developed a contact-based body position monitoring system using pressure sensors and artificial intelligence, enabling non-invasive, radiation-free, real-time monitoring….

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NHS SBS plans healthcare AI solutions framework

NHS SBS plans healthcare AI solutions framework

January 16, 2025January 16, 2025Digital Health

NHS Shared Business Services (NHS SBS) is planning the formation of a new framework agreement for AI solutions in healthcare.
It will be named Healthcare Artificial Intelligence Solutions and will replace the frameworks for AI…

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AI trial to enhance the precision of radiotherapy for prostate cancer

AI trial to enhance the precision of radiotherapy for prostate cancer

January 8, 2025January 8, 2025Digital Health

Researchers at The Clatterbridge Cancer Centre NHS Foundation Trust in Wirral are using AI to enhance the precision of radiotherapy for prostate cancer.
The PIVOTALboost study, which ran from 2018, recently closed after surveying data…

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Revolutionary CyberKnife Breakthrough Transforms Brain Treatment

Revolutionary CyberKnife Breakthrough Transforms Brain Treatment

January 8, 2025January 8, 2025DistilINFO Hospital IT

Groundbreaking Study Results
An international multicenter analysis has revealed remarkable outcomes for patients receiving CyberKnife radiosurgery (SRS) and fractionated stereotactic radiotherapy (FSRT) for brainstem metastases. The study, published in the International Journal of Cancer, demonstrates…

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The most promising technology is AI combined with what we call "digital endpoints" for each service we provide. Digital endpoints are technologies like online scheduling, asynchronous video visits, and voice and application programming interfaces. The combination of AI and these endpoints mean that we can enable more sophisticated navigation, new business models, reduce friction and improve care delivery.

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