Medicare

DeepVoyager-VL: Incentivizing Vision-in-the-Loop Search for Long-Horizon Multimodal Agents

Multimodal large language models (MLLMs) have advanced visual understanding and reasoning, yet their static parametric knowledge limits their ability to address knowledge-intensive and dynamically evolving open-world problems. To move beyond this limitation, multimodal deep search has emerged as a key direction for open-world information access, evolving from single-turn factual retrieval toward l...

HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled Experts

Recent vision-language models for chest X-ray understanding are largely built on image-report alignment and therefore rely heavily on MIMIC-CXR as the dominant pretraining source. While effective at scale, this paradigm underexplores an important alternative source of supervision: a range of existing multi-label classification datasets, which provide cleaner and more explicit disease signals than ...

CAPEval: A Decoupled Caption Evaluation across Understanding and Generation

Captions serve as a primary supervision signal for both multimodal understanding and text-to-image generation. However, previous evaluations treat the...

Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning

Multimodal large language models (MLLMs) increasingly rely on long chain-of-thought reasoning for complex tasks. However, as reasoning sequences lengt...

Long-Horizon Embodied Decision-Making via Multimodal Memory Compression

Agents are increasingly expected to act not only as task executors, but also as decision-makers on behalf of human users. This shift requires agents t...

A Supervised Text-Embedded Transformer Matching Model to Detect Fall Injuries in Medicare Data

Objective: To develop and validate a supervised text-embedded transformer matching model to identify fall injuries in Medicare data, and evaluate the ...

Mitigating Class-Tail Undercoverage in Medical Vision-Language Models under Clinical Shift

Medical vision-language models (VLMs) can retain high observed marginal coverage after clinical shift while substantially under-covering an individual...

CENO: A Genome-Scale World Model for Evolutionary Sequence Interpretation and Programmable Regulatory Design

DNA encodes biological function across a continuum of sequence scales, from single-nucleotide and motif-level grammar to regulatory neighborhoods, chr...

Hallucinations Leave a Grounding Signature:Verifier-Guided Decoding for Selective Object Correction

Large vision-language models (LVLMs) often hallucinate objects that are absent from an image. Despite recent progress, existing mitigation methods sti...

Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

Detecting when the statistical behavior of an engineered system changes, and identifying which component is responsible, are core problems in the moni...

Conformalized Rate-Adaptive Sensing

Many high-resolution imaging systems face the same fundamental question: when have enough measurements been collected to reconstruct an image accurate...

Cost-Sensitive Conformal Prediction and Human-in-the-Loop Abstention for Imbalanced High-Stakes Decision Support: A Multi-Domain Benchmark

High-stakes decision systems in credit scoring, fraud detection, healthcare, and industrial safety require reliable uncertainty quantification under s...

CoTinyVLA: Chain-of-Thought Distillation for a Sub-Billion-Parameter Vision-Language-Action Model

Vision-Language-Action (VLA) models translate natural-language commands into robot action sequences, but leading systems on the LIBERO-Plus robustness...

GaitFace: A Multimodal Dataset for Long-Range Person Identification

Efficient border control is becoming a significant global challenge, mainly due to severe congestion and extended passenger waiting times. To mitigate...

JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents

Creative AI is moving from single-step asset generation toward long-horizon multimodal production. Although recent generative models can synthesize hi...

Diagnostic Performance of Fluorescence-Based Rapid On-Site Specimen Evaluation for Helicobacter pylori Antimicrobial Susceptibility Testing Before and After Algorithm Optimization: A Two-Round Comparative Study

Objective This study was designed to evaluate the diagnostic performance of fluorescence-based rapid on-site specimen evaluation (F-ROSE) for antimicr...

MedZone Embedder: a framework for representation learning of Japanese secondary medical care areas from a national ICU registry, characterizing intensive care provision structure and regional vulnerability

Background: In Japan, acute inpatient care is divided into approximately 335 secondary medical care areas, which serve as the basic units for planning...

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and dev...

Calibrated Alzheimer's Conversion Risk in Mild Cognitive Impairment: Persistent Homology of Clinical Trajectories with Conformal Guarantees

Background. Predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is central to trial enrichment and care planning, y...

SEE: Structure-aware Exploring \& Exploiting for Long-horizon GUI Agent Trajectory Synthesis

Graphical User Interface (GUI) agents powered by vision-language models hold promise for automating real-world mobile tasks. However, progress is limi...