Medicare

Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients' risk of this serious health outcome. Machine learning (ML) algorithms can help improve prediction performance and can be combined with electronic health record (EHR) interventions...

MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs.

In the era of Artificial Intelligence (AI), Large Language Models (LLMs) are increasingly being used as medical reasoning agents. However, the risk of LLM hallucinations, where the model generates incorrect or nonsensical responses, poses a significant challenge, especially in the medical domain. To address this, we propose the adoption of the Predict→Interpret→Explain (PIE) paradigm. This paradig...

Automated Logical Observation Identifiers Names and Codes mapping with biomedical natural language processing models: enabling scalable health information exchange via the Open Concept Lab.

OBJECTIVES: Efficient exchange of health information requires consistent representation of clinical concepts across laboratories, hospitals, and publi...

IML-UNet: A brain-inspired spatiotemporal collaborative encoding method for medical image sequence registration.

BACKGROUND AND OBJECTIVE: Deformable medical image registration is important for radiotherapy planning, respiratory motion analysis, and organ functio...

Mapping the Research Landscape of Ageing Population: A Bibliometric Study.

BACKGROUND AND OBJECTIVES: The ageing population is a critical global issue shaped by demographic transitions. Despite growing research, a comprehensi...

Realization of Long Axial Field-of-View PET Technology in the Clinic and Research Environment.

Long axial field-of-view (AFOV) PET-CT instruments have significantly higher sensitivity than conventional PET scanners allowing for reduced scan time...

Wood you believe it-Detecting copper with hyperspectral imaging.

Enhancing circularity and promoting the cascade use of wood resources, currently considered non-recyclable despite containing considerable amounts of ...

CO coadsorption effects on the water-gas shift reaction over Cu clusters on Cu(111): insights from the machine learning force field and microkinetic modeling.

CO-induced Cu clustering has been observed experimentally and theoretically, yet its catalytic implications remain insufficiently understood. Here, we...

A robotic wound care patient for evidence-based surgical site infection research.

BACKGROUND: Surgical site infections (SSIs) are among the most common and preventable postoperative complications, yet existing preclinical models lac...

Breath-hold CBCT-to-CT synthesis using an unsupervised artifact disentanglement network with Mamba for breast cancer adaptive radiotherapy.

BACKGROUND: Accurate and up-to-date anatomical information is critical for effective treatment planning in breast cancer adaptive radiotherapy. Cone-b...

eDNA and AI Identification Reveal Complementary Signals in Phytoplankton Monitoring.

Phytoplankton regulates aquatic energy transfer and biogeochemical cycling, yet accurately characterizing community composition remains challenging be...

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artificial intelligence (AI) agent, implemented within a...

Synthetic fluorescent receptor arrays for sensing in complex matrices: from robust chemistry to data-driven readouts.

Sensing is moving from specific lock-and-key biorecognition toward chemically programmable, pattern-based approaches. Synthetic fluorescent receptor a...

Online adaptive radiotherapy: Clinical utility, challenges and perspectives.

Online adaptive radiotherapy (oART) represents a major evolution in radiation oncology, enabling daily plan adaptation to account for anatomical varia...

Community Characteristics Predict Local News Agenda Building About Racial Health Disparities.

We examined market-level social and demographic characteristics and station-level factors as predictors of local television news coverage of COVID-19-...

Use of Machine Learning to Identify Markers of Risk for Fragile X-Associated Tremor/Ataxia Syndrome: A Preliminary Analysis.

OBJECTIVE: The objective of this study was to examine whether machine learning has the capacity to prospectively identify and predict the emergence of...

Speech-based digital biomarkers for early etiological stratification of Alzheimer's disease and frontotemporal degeneration: a biomarker-confirmed prospective study.

BACKGROUND: Early differentiation between Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) is a prerequisite for secondary preven...

Leveraging long-read assemblies and machine learning to enhance short-read transposable element detection and genotyping.

Transposable elements (TEs) are parasitic genomic elements that are ubiquitous across the tree of life and play a crucial role in genome evolution. Ad...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation.

Lung cancer, which accounted for 2.48 million new cases and 1.82 million deaths worldwide in 2022, continues to be the most lethal cancer across the g...