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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

Exergaming and cognitive functions in people with mild cognitive impairment and dementia: a meta-analysis

Exergaming and cognitive functions in people with mild cognitive impairment and dementia: a meta-analysis

June 15, 2024June 15, 2024npj Digital Medicine

Exergaming is a combination of exercise and gaming. Evidence shows an association between exercise and cognition in older people. However, previous studies showed inconsistent results on the cognitive benefits of exergaming in people with…

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Capturing relationships between suturing sub-skills to improve automatic suturing assessment

Capturing relationships between suturing sub-skills to improve automatic suturing assessment

June 12, 2024June 12, 2024npj Digital Medicine

Suturing skill scores have demonstrated strong predictive capabilities for patient functional recovery. The suturing can be broken down into several substep components, including needle repositioning, needle entry angle, etc. Artificial intelligence (AI) systems have…

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Computationally derived transition points across phases of clinical care

Computationally derived transition points across phases of clinical care

June 11, 2024June 12, 2024npj Digital Medicine

The objective of this study is to use statistical techniques for the identification of transition points along the life course, aiming to identify fundamental changes in patient multimorbidity burden across phases of clinical care….

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Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system

June 7, 2024June 7, 2024npj Digital Medicine

Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital admission. However, in…

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Clanwilliam tests electronic prescription technology in Wales

Clanwilliam tests electronic prescription technology in Wales

June 6, 2024June 6, 2024Digital Health

Healthcare IT supplier Clanwilliam is testing its pharmacy system technology in Wales to support the delivery of an Electronic Prescription Service (EPS).Clanwilliam is the fourth pharmacy system supplier to develop software that enables pharmacies…

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Deployment and validation of the CLL treatment infection model adjoined to an EHR system

Deployment and validation of the CLL treatment infection model adjoined to an EHR system

June 5, 2024June 5, 2024npj Digital Medicine

Research algorithms are seldom externally validated or integrated into clinical practice, leaving unknown challenges in deployment. In such efforts, one needs to address challenges related to data harmonization, the performance of an algorithm in…

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Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan

Circadian rhythm analysis using wearable-based accelerometry as a digital biomarker of aging and healthspan

June 4, 2024June 4, 2024npj Digital Medicine

Recognizing the pivotal role of circadian rhythm in the human aging process and its scalability through wearables, we introduce CosinorAge, a digital biomarker of aging developed from wearable-derived circadian rhythmicity from 80,000 midlife and…

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The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

The effectiveness of digital twins in promoting precision health across the entire population: a systematic review

June 3, 2024June 3, 2024npj Digital Medicine

Digital twins represent a promising technology within the domain of precision healthcare, offering significant prospects for individualized medical interventions. Existing systematic reviews, however, mainly focus on the technological dimensions of digital twins, with a…

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Towards automatic home-based sleep apnea estimation using deep learning

Towards automatic home-based sleep apnea estimation using deep learning

June 1, 2024June 2, 2024npj Digital Medicine

Apnea and hypopnea are common sleep disorders characterized by the obstruction of the airways. Polysomnography (PSG) is a sleep study typically used to compute the Apnea-Hypopnea Index (AHI), the number of times a person…

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Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer

Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer

May 29, 2024May 30, 2024npj Digital Medicine

Molecular classification, particularly microsatellite instability-high (MSI-H), has gained attention for immunotherapy in endometrial cancer (EC). MSI-H is associated with DNA mismatch repair defects and is a crucial treatment predictor. The NCCN guidelines recommend pembrolizumab…

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It all comes back to helping patients. That's the reason why we have an innovations office. We have some of the best physicians, scientists and engineers in the world right here in Cleveland who come up with brilliant ideas every day. And we need a way of bringing these to the market to help patients today and in the future. We want to reduce healthcare costs if we can come up with a less expensive way of doing something. We need to innovate around what we traditionally do but then also look at new avenues that we can explore to impact patient care.

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