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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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Category: npj Digital Medicine

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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Impact of primary to secondary care data sharing on care quality in NHS England hospitals

Impact of primary to secondary care data sharing on care quality in NHS England hospitals

August 14, 2023August 14, 2023npj Digital Medicine

Health information exchange (HIE) is seen as a key component of effective care but remains poorly evidenced at a health system level. In the UK National Health Service (NHS), the ability to share primary…

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Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia

Development and validation of a reinforcement learning model for ventilation control during emergence from general anesthesia

August 14, 2023August 14, 2023npj Digital Medicine

Ventilation should be assisted without asynchrony or cardiorespiratory instability during anesthesia emergence until sufficient spontaneous ventilation is recovered. In this multicenter cohort study, we develop and validate a reinforcement learning-based Artificial Intelligence model for…

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A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography

August 12, 2023August 12, 2023npj Digital Medicine

Duct-dependent congenital heart diseases (CHDs) are a serious form of CHD with a low detection rate, especially in underdeveloped countries and areas. Although existing studies have developed models for fetal heart structure identification, there…

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EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

August 12, 2023August 12, 2023npj Digital Medicine

Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive data such as Electronic Health Records (EHR). This impedes the application of data…

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As the chief clinical officer of a health system that includes five hospitals, I start almost every day by asking myself the question, "What will we need hospitals for in 2030?" How much that we do today will be safely done either at home or in the ambulatory setting in the near future given advancements in point-of-care diagnostics, telehealth, artificial intelligence, nanotechnology, robotics, drones, 3D printing, virtual reality, 5G, etc.?

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