Geriatrics

Medicare

Latest AI and machine learning research in medicare for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 694-714 of 2,946 articles
Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements

Catheter ablation of Atrial Fibrillation (AF) consists of a one-size-fits-all treatment with limit...

A Systematic Evaluation of Generative Models on Tabular Transportation Data

The sharing of large-scale transportation data is beneficial for transportation planning and polic...

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy

We introduce Long-VITA, a simple yet effective large multi-modal model for long-context visual-lan...

Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts

The perspective of developing trustworthy AI for critical applications in science and engineering ...

Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market

The integration of renewable energy into electricity markets poses significant challenges to price...

TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives

TerraQ is a spatiotemporal question-answering engine for satellite image archives. It is a natural...

Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration

Recently computer-aided diagnosis has demonstrated promising performance, effectively alleviating ...

Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation

Large language models (LLMs) have shown impressive capabilities in natural language processing tas...

Concept-Aware Latent and Explicit Knowledge Integration for Enhanced Cognitive Diagnosis

Cognitive diagnosis can infer the students' mastery of specific knowledge concepts based on histor...

MatIR: A Hybrid Mamba-Transformer Image Restoration Model

In recent years, Transformers-based models have made significant progress in the field of image re...

Robust Online Conformal Prediction under Uniform Label Noise

Conformal prediction is an emerging technique for uncertainty quantification that constructs predi...

Noise-Adaptive Conformal Classification with Marginal Coverage

Conformal inference provides a rigorous statistical framework for uncertainty quantification in ma...

Qwen2.5-1M Technical Report

We introduce Qwen2.5-1M, a series of models that extend the context length to 1 million tokens. Co...

Detecting Unauthorized Drones with Cell-Free Integrated Sensing and Communication

Integrated sensing and communication (ISAC) boosts network efficiency by using existing resources ...

Distributed Conformal Prediction via Message Passing

Post-hoc calibration of pre-trained models is critical for ensuring reliable inference, especially...

Making Reliable and Flexible Decisions in Long-tailed Classification

Long-tailed classification is challenging due to its heavy imbalance in class probabilities. While...

SEF-PNet: Speaker Encoder-Free Personalized Speech Enhancement with Local and Global Contexts Aggregation

Personalized speech enhancement (PSE) methods typically rely on pre-trained speaker verification m...

CoverM: Read alignment statistics for metagenomics

Genome-centric analysis of metagenomic samples is a powerful method for understanding the function...

Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores

Standard conformal prediction offers a marginal guarantee on coverage, but for prediction sets to ...

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