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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: Digital medicine

Advanced and interpretable corneal staining assessment through fine grained knowledge distillation

Advanced and interpretable corneal staining assessment through fine grained knowledge distillation

May 24, 2025May 24, 2025npj Digital Medicine

The assessment of corneal fluorescein staining is essential, yet current AI models for Corneal Staining Score (CSS) assessments inadequately identify punctate lesions due to annotation challenges and noise, risk misrepresenting treatment responses through “plateau”…

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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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Iterative refinement and goal articulation to optimize large language models for clinical information extraction

Iterative refinement and goal articulation to optimize large language models for clinical information extraction

May 23, 2025May 23, 2025npj Digital Medicine

Extracting structured data from free-text medical records at scale is laborious, and traditional approaches struggle in complex clinical domains. We present a novel, end-to-end pipeline leveraging large language models (LLMs) for highly accurate information…

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A framework for considering the use of generative AI for health

A framework for considering the use of generative AI for health

May 21, 2025May 21, 2025npj Digital Medicine

This perspective provides a critical framework for evaluating the use of Generative AI (GenAI) in healthcare, informed by two roundtable events and a series of semi-structured expert interviews. By outlining key principles and risks—including…

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Postoperative remote first care for financially and environmentally sustainable healthcare

Postoperative remote first care for financially and environmentally sustainable healthcare

May 21, 2025May 22, 2025npj Digital Medicine

This study aims to quantify the financial and environmental savings associated with remote follow up in patients undergoing lower limb arterial surgery. A prospective observational study evaluating financial cost(fC) and environmental cost(eC) of postoperative…

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A systematic review of developments in mHealth smartphone applications for Transgender and Gender Diverse individuals

A systematic review of developments in mHealth smartphone applications for Transgender and Gender Diverse individuals

May 21, 2025May 22, 2025npj Digital Medicine

Transgender and gender diverse (TGD) individuals face significant healthcare barriers, resulting in inequities and unmet needs. Mobile health (mHealth) applications offer promising solutions by providing accessible, cost-effective, personalized, and gender-affirming care. This systematic review,…

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A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer

A randomized controlled trial of a digital lifestyle intervention involving postoperative patients with colorectal cancer

May 20, 2025May 20, 2025npj Digital Medicine

Few studies have investigated quality of life (QoL) improvements in patients with colorectal cancer or the benefits of digital healthcare interventions. This randomized controlled trial assessed the impact of mobile applications on postoperative QoL…

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A multivariate model incorporating subharmonic measurements for evaluating vocal roughness

A multivariate model incorporating subharmonic measurements for evaluating vocal roughness

May 20, 2025May 20, 2025npj Digital Medicine

The assessment of voice quality plays a critical role in the clinical evaluation of hoarseness. However, no study has established a highly accurate method for the auditory–perceptual judgment of vocal roughness, which is one…

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Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology

May 19, 2025May 19, 2025npj Digital Medicine

Determining tumor microsatellite status has significant clinical value because tumors that are microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) respond well to immune checkpoint inhibitors (ICIs) and oftentimes not to chemotherapeutics. We propose…

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Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness

Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness

May 18, 2025May 19, 2025npj Digital Medicine

We are an interdisciplinary team of researchers that are working to advance algorithmic fairness in the research of opioid use disorders. We discuss challenges that our research team faced when engaging with our Advisory…

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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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