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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

A flexible symbolic regression method for constructing interpretable clinical prediction models

A flexible symbolic regression method for constructing interpretable clinical prediction models

June 5, 2023June 6, 2023npj Digital Medicine

Machine learning (ML) models trained for triggering clinical decision support (CDS) are typically either accurate or interpretable but not both. Scaling CDS to the panoply of clinical use cases while mitigating risks to patients…

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Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game

Preventing mental illness in children that experienced maltreatment the efficacy of REThink online therapeutic game

June 5, 2023June 5, 2023npj Digital Medicine

Exposure to child maltreatment (CM) is considered to predispose children to devastating consequences in terms of mental health. Thus, it is a public health priority to provide these children with early preventive interventions that…

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DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

DeepBreath—automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

June 2, 2023June 4, 2023npj Digital Medicine

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric…

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Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

June 2, 2023June 4, 2023npj Digital Medicine

Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to…

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Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework

Rigorous and rapid evidence assessment in digital health with the evidence DEFINED framework

May 31, 2023June 1, 2023npj Digital Medicine

Dozens of frameworks have been proposed to assess evidence for digital health interventions (DHIs), but existing frameworks may not facilitate DHI evidence reviews that meet the needs of stakeholder organizations including payers, health systems,…

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Prosodic signatures of ASD severity and developmental delay in preschoolers

Prosodic signatures of ASD severity and developmental delay in preschoolers

May 30, 2023May 30, 2023npj Digital Medicine

Atypical prosody in speech production is a core feature of Autism Spectrum Disorder (ASD) that can impact everyday life communication. Because the ability to modulate prosody develops around the age of speech acquisition, it…

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Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study

Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study

May 30, 2023May 30, 2023npj Digital Medicine

Menstrual characteristics are important signs of women’s health. Here we examine the variation of menstrual cycle length by age, ethnicity, and body weight using 165,668 cycles from 12,608 participants in the US using mobile…

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Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

May 27, 2023May 30, 2023npj Digital Medicine

The recent availability of electronic health records (EHRs) have provided enormous opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has become a major concern that limits data sharing across hospital settings and…

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Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases

Mapping digital health ecosystems in Africa in the context of endemic infectious and non-communicable diseases

May 26, 2023May 27, 2023npj Digital Medicine

Investments in digital health technologies such as artificial intelligence, wearable devices, and telemedicine may support Africa achieve United Nations (UN) Sustainable Development Goal for Health by 2030. We aimed to characterize and map digital…

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Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore

Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore

May 25, 2023May 26, 2023npj Digital Medicine

Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

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