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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

Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons

Explainable deep learning approach for extracting cognitive features from hand-drawn images of intersecting pentagons

August 23, 2023August 23, 2023npj Digital Medicine

Hand drawing, which requires multiple neural systems for planning and controlling sequential movements, is a useful cognitive test for older adults. However, the conventional visual assessment of these drawings only captures limited attributes and…

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Using AI to measure Parkinson’s disease severity at home

Using AI to measure Parkinson’s disease severity at home

August 23, 2023August 24, 2023npj Digital Medicine

We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson’s disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front…

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Deep learning based phenotyping of medical images improves power for gene discovery of complex disease

Deep learning based phenotyping of medical images improves power for gene discovery of complex disease

August 22, 2023August 22, 2023npj Digital Medicine

Electronic health records are often incomplete, reducing the power of genetic association studies. For some diseases, such as knee osteoarthritis where the routine course of diagnosis involves an X-ray, image-based phenotyping offers an alternate…

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Mining the contribution of intensive care clinical course to outcome after traumatic brain injury

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury

August 21, 2023August 21, 2023npj Digital Medicine

Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individualising treatment. Here, we integrate all heterogenous data…

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Predicting labor onset relative to the estimated date of delivery using smart ring physiological data

Predicting labor onset relative to the estimated date of delivery using smart ring physiological data

August 19, 2023August 19, 2023npj Digital Medicine

The transition from pregnancy into parturition is physiologically directed by maternal, fetal and placental tissues. We hypothesize that these processes may be reflected in maternal physiological metrics. We enrolled pregnant participants in the third-trimester…

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Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients

Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients

August 19, 2023August 19, 2023npj Digital Medicine

Human Papilloma Virus (HPV)-associated oropharyngeal squamous cell cancer (OPSCC) represents an OPSCC subgroup with an overall good prognosis with a rising incidence in Western countries. Multiple lines of evidence suggest that HPV-associated tumors are…

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Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

August 18, 2023August 19, 2023npj Digital Medicine

Images depicting dark skin tones are significantly underrepresented in the educational materials used to teach primary care physicians and dermatologists to recognize skin diseases. This could contribute to disparities in skin disease diagnosis across…

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Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension

Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension

August 18, 2023August 18, 2023npj Digital Medicine

Digital health interventions have been shown to be clinically-effective for type 2 diabetes mellitus (T2DM) and hypertension prevention and treatment. This study synthesizes and compares the cost-effectiveness of text-messaging, smartphone application, and websites by…

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Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

August 17, 2023August 17, 2023npj Digital Medicine

When children are discharged from the hospital after surgery, their caregivers often rely on subjective assessments (e.g., appetite, fatigue) to monitor postoperative recovery as objective assessment tools are scarce at home. Such imprecise and…

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Objective wearable measures correlate with self-reported chronic pain levels in people with spinal cord stimulation systems

Objective wearable measures correlate with self-reported chronic pain levels in people with spinal cord stimulation systems

August 15, 2023August 15, 2023npj Digital Medicine

Spinal Cord Stimulation (SCS) is a well-established therapy for treating chronic pain. However, perceived treatment response to SCS therapy may vary among people with chronic pain due to diverse needs and backgrounds. Patient Reported…

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