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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

Mapping the regulatory landscape for artificial intelligence in health within the European Union

Mapping the regulatory landscape for artificial intelligence in health within the European Union

August 27, 2024August 28, 2024npj Digital Medicine

Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while ensuring the ethical, secure, and effective implementation of AI technology in healthcare and population health. In this article, we present a synthesis…

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Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial

Personalized dose selection for the first Waldenström macroglobulinemia patient on the PRECISE CURATE.AI trial

August 27, 2024August 27, 2024npj Digital Medicine

The digital revolution in healthcare, amplified by the COVID-19 pandemic and artificial intelligence (AI) advances, has led to a surge in the development of digital technologies. However, integrating digital health solutions, especially AI-based ones,…

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Digital twins in dermatology, current status, and the road ahead

Digital twins in dermatology, current status, and the road ahead

August 27, 2024August 27, 2024npj Digital Medicine

Digital twins, innovative virtual models synthesizing real-time biological, environmental, and lifestyle data, herald a new era in personalized medicine, particularly dermatology. These models, integrating medical-purpose Internet of Things (IoT) devices, deep and digital phenotyping,…

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Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population

August 24, 2024August 24, 2024npj Digital Medicine

Congenital long QT syndrome (LQTS) diagnosis is complicated by limited genetic testing at scale, low prevalence, and normal QT corrected interval in patients with high-risk genotypes. We developed a deep learning approach combining electrocardiogram…

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Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening

Cost-effectiveness of incorporating self-imaging optical coherence tomography into fundus photography-based diabetic retinopathy screening

August 24, 2024August 24, 2024npj Digital Medicine

Diabetic macular edema (DME) has emerged as the foremost cause of vision loss in the population with diabetes. Early detection of DME is paramount, yet the prevailing screening, relying on two-dimensional and labor-intensive fundus…

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Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

Deep learning-based prediction of Clostridioides difficile infection caused by antibiotics using longitudinal electronic health records

August 24, 2024August 24, 2024npj Digital Medicine

Clostridioides difficile infection (CDI) is a major cause of antibiotic-associated diarrhea and colitis. It is recognized as one of the most significant hospital-acquired infections. Although CDI can develop severe complications and spores of Clostridioides…

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A scoping review of large language model based approaches for information extraction from radiology reports

A scoping review of large language model based approaches for information extraction from radiology reports

August 24, 2024August 24, 2024npj Digital Medicine

Radiological imaging is a globally prevalent diagnostic method, yet the free text contained in radiology reports is not frequently used for secondary purposes. Natural Language Processing can provide structured data retrieved from these reports….

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A portable and efficient dementia screening tool using eye tracking machine learning and virtual reality

A portable and efficient dementia screening tool using eye tracking machine learning and virtual reality

August 23, 2024August 23, 2024npj Digital Medicine

Dementia represents a significant global health challenge, with early screening during the preclinical stage being crucial for effective management. Traditional diagnostic biomarkers for Alzheimer’s Disease, the most common form of dementia, are limited by…

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Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

Digital biomarkers for precision diagnosis and monitoring in Parkinson’s disease

August 22, 2024August 22, 2024npj Digital Medicine

Parkinson’s disease (PD) is a multifactorial neurodegenerative disorder with high prevalence among the elderly, primarily manifested by progressive decline in motor function. The aging global demographic and increased life expectancy have led to a…

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Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era

Closing the gap: addressing telehealth disparities across specialties in the sustained pandemic era

August 21, 2024August 21, 2024npj Digital Medicine

Missed appointments, or no-shows, disrupt healthcare delivery, exacerbating chronic disease management and leading to worse health outcomes. Telehealth has surged as a viable solution to reduce no-shows and improve healthcare accessibility, especially during the…

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