Work Force

Supragingival Biomarker flora of Children With and Without Cariogenic Disease and Black Stains, Aged 3 to 6 Years.

BACKGROUND: The oral microbiome plays a pivotal role in the occurrence and progression of dental caries and black stain (BS) pigment. OBJECTIVES: The aim of this study was to explore the keystone microbiota and potential biomarkers of caries and BS pigment in 3 to 6-year-old children. METHODS: A total of 122 children were included, namely, healthy controls (HC, n = 32), those with severe early chi...

Multi-modal sensing in colonoscopy: a data-driven approach.

Soft optical sensors hold potential for enhancing minimally invasive procedures like colonoscopy, yet their complex, multi-modal responses pose significant challenges. This work introduces a machine learning (ML) framework for real-time estimation of 3D shape and contact force in a soft robotic sleeve for colonoscopy. To overcome limitations of manual calibration and collect large datasets for ML,...

Reimagining Surgical Documentation: Implementing Ambient Artificial Intelligence to Enhance Workflow, Reduce Burnout, and Improve Clinical Communication.

Towards more effective skill discovery in reinforcement learning by incorporating state reachability.

Skill discovery in reinforcement learning seeks to autonomously learn a diverse repertoire of behaviors, enabling efficient adaptation to downstream t...

Enhancing the circular economy of lithium-ion batteries: a data-driven optimisation of leaching efficiency using kernel ridge regression.

The increasing demand for lithium-ion batteries (LIBs) and the consequential accumulation of waste from these batteries necessitate its appropriate di...

Can environmental signals influence dietary Behaviours?The impact of governmental green development attention on dietary diversity among older adults.

Against the backdrop of simultaneous national agendas for green transition and healthy ageing, the nutritional behaviour of older adults is being resh...

Creating Virtual Stroke Networks: Current and Future Role of Artificial Intelligence, Mobile Imaging Applications, and Telehealth in Triage and Treatment of Acute Ischemic Stroke: A Scientific Statement From the American Heart Association: The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists.

Rapid evaluation, triage, and transport of patients with stroke for thrombolytics, thrombectomy, and other acute treatments have become a vital part o...

Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation.

This article traces the historical evolution and current complexities of clinical documentation, emphasizing its transformation under regulatory, fina...

Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach.

Language disturbances are central features of serious mental illnesses, yet traditional clinical assessments often rely on subjective evaluation that ...

Consensus-guided individual graph learning via enhanced tensor low-rank for robust multi-view clustering.

Most graph-based multi-view clustering methods first learn individual similarity graphs for each view and then derive a consensus graph from these sim...

CSCL: Bridging the plasticity-stability gap in continuous supervised contrastive learning.

In real-world scenarios characterized by non-stationary data streams, Continual Learning (CL) aims to enable learners to acquire information from new ...

Ambient Artificial Intelligence in Hand Surgery: Insights, Pearls, and Pitfalls From Real-World Use.

BACKGROUND: Documentation burden is a major contributor to surgeon burnout, particularly in high-volume outpatient specialties such as hand surgery. T...

Primary-care-focused interpretable machine learning model for depression screening in geriatrics: A comparative study of multiple algorithms.

BACKGROUND: The prevalence of depression among older adults places a considerable strain on healthcare systems due to a shortage of psychiatrists for ...

The Future of Digital Mental Health: A Literature Review.

Digital mental health tools-including telehealth, mobile applications, wearable devices, machine learning, and artificial intelligence-are changing th...

FAST: Foreground-aware active self-training for domain adaptive object detection.

Domain adaptive object detection (DAOD) aims to enable object detectors to perform well on an unlabeled target domain that differs from the source dom...

The effect of autonomous mobile robots on improving endoscope reprocessing efficiency: a prospective comparative trial (with video).

BACKGROUND AND AIMS: Autonomous mobile robots (AMRs) have an increasingly wide range of medical applications. However, their use in endoscopy centers ...

Optimizing Clinical Education Through a Regional Coordinating Center: Lessons Learned From a State-Wide Initiative.

The shortage of clinical training sites and preceptors has become a major barrier in the development of health workforce across North America. Innovat...

Genomic and Transcriptomic Profiling of High-risk Bladder Cancer Reveals Diverse Molecular and Microenvironment Ecosystems.

BACKGROUND AND OBJECTIVE: High-risk bladder cancer recurs in 30% of cases and causes fatal outcomes in 10% within 2 yr despite surgical resection, end...

Health Care Ramifications of Pervasive Direct-to-Consumer Prescription Drug Advertising.

Direct-to-consumer (DTC) advertisements for prescription drugs are an enduring feature of the US media landscape. These ads are costly (>$8 billion ex...

Using Machine Learning and SHAP to Identify Biomechanical Risk Factors for Increased Achilles Tendon Stress during Low-Temperature Running.

PURPOSE: Achilles tendon injuries are common during running in low-temperature environments, but the underlying biomechanical mechanisms remain unclea...