Medicare

Artificial intelligence in clinical trials: A comprehensive review of opportunities, challenges, and future directions.

BACKGROUND: Clinical trials face unprecedented challenges including recruitment delays affecting 80% of studies, escalating costs exceeding $200 billion annually in pharmaceutical R&D, success rates below 12%, and data quality issues affecting 50% of datasets. Artificial intelligence (AI) offers transformative solutions to address these systemic inefficiencies across the clinical trial lifecycle. ...

A Walk With Grief: A Personal Narrative of Coping With the Death of a Same Sex Partner in Late Life.

Grief is a complex and multifaceted process. While there is no reason to think that the grieving process would be dissimilar if an LGBTQ+ individual loses a partner than the grief of a heterosexual individual, they often receive and perceive less practical and emotional support, empathy and are treated unequally legally post loss. To date no studies have investigated whether this experience (disen...

Planning forward: Deep incremental hashing by gradually defrosting bits.

Deep incremental hashing can generate hash codes incrementally for new classes, while keeping the existing ones unchanged. Existing methods typically ...

Scalable Acid-Aided Lysis of Skin Samples Improves Proteome Coverage.

Liquid chromatography-mass spectrometry is an evolving tool for comprehensive proteomic analyses across tissues. Despite the widespread use of liquid ...

Optimizing guideline-directed medical therapy in chronic kidney disease and type 2 diabetes mellitus patients in primary care.

BACKGROUND: Despite KDIGO (Kidney Disease: Improving Global Outcomes) recommendations for renin-angiotensin-aldosterone system inhibitors (RAASi's) an...

Assessment of Multimodal Natural Language Processing in Ascertaining Perioperative Safety Indicators From Preoperative Notes in Spine Surgery.

INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical data, overlooking nuanced free text, such as preop...

Are Artificial Intelligence Models Reliable for Clinical Application in Pediatric Fracture Detection on Radiographs? A Systematic Review and Meta-analysis.

BACKGROUND: Artificial intelligence (AI) applications for pediatric fracture diagnosis using radiographs have demonstrated growing potential in clinic...

Efficacy of artificial intelligence for adenoma detection in water exchange colonoscopy: a two-center randomized controlled trial.

Water exchange and artificial intelligence-based computer-aided detection (CADe) separately improve the adenoma detection rate (ADR) and number of ade...

Exploring the impacts of key drivers on ground-level ozone in Southeast China using machine learning.

As a major atmospheric contaminant, ground-level ozone (O3) necessitates comprehensive analysis of the determinants influencing its concentration. Alt...

An eel-like robot based on a dielectric elastomer.

Eels have attracted significant research interest because of their long-distance migration and high-endurance cruising behavior. An underwater eel-lik...

Beam orientation optimization in IMRT using sparse mixed integer programming and non-convex fluence map optimization.

Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, non-convex problem traditionally addressed with heur...

The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods fo...

Microstate Analysis of Resting-State EEG Signals for Classifying Tinnitus from Healthy Subjects.

Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with high temporal resolution. Microstate analysis exami...

Deep learning-based diffusion MRI tractography: Integrating spatial and anatomical information.

Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. It plays a crucial role in neurosci...

Statistical and machine learning models for predicting university dropout and scholarship impact.

Although student dropout is an inevitable aspect of university enrollment, when analyzed, universities can gather information which enables them to ta...

Quantitative and automatic plan-of-the-day assessment to facilitate adaptive radiotherapy in cervical cancer.

To facilitate implementation of plan-of-the-day (POTD) selection for treating locally advanced cervical cancer (LACC), we developed a POTD assessment ...

Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.

Magnetic resonance spectroscopic imaging has potential for non-invasive metabolic imaging of the human brain. Here we report a method that overcomes s...

Harnessing predictive analytics to support high-risk learners in a one-year certification program in emergency medicine (CPEM) in Pakistan.

INTRODUCTION: Predictive analytics and Machine Learning (PAML) are gaining traction in health professions education (HPE). Their utilization includes,...

Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning.

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Traditional statistical methods have identified independent...

Unmanned Aerial Vehicle (UAV) Imagery for Plant Communities: Optimizing Visible Light Vegetation Index to Extract Multi-Species Coverage.

Low-cost unmanned aerial vehicle (UAV) visible light remote sensing provides new opportunities for plant community monitoring, but its practical deplo...