Hospital-Based Medicine

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

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Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding

Conversational query clarification enables users to refine their search queries through interactiv...

AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors

Visuo-tactile sensors aim to emulate human tactile perception, enabling robots to precisely unders...

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical car...

Improved YOLOv7 model for insulator defect detection

Insulators are crucial insulation components and structural supports in power grids, playing a vit...

The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care

Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...

RAMer: Reconstruction-based Adversarial Model for Multi-party Multi-modal Multi-label Emotion Recognition

Conventional multi-modal multi-label emotion recognition (MMER) from videos typically assumes full...

MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification

Medical time series has been playing a vital role in real-world healthcare systems as valuable inf...

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning

Large Language Models (LLMs) demonstrate remarkable generalizability across diverse tasks, yet gen...

ModServe: Scalable and Resource-Efficient Large Multimodal Model Serving

Large multimodal models (LMMs) demonstrate impressive capabilities in understanding images, videos...

BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems

Cloud infrastructure is the collective term for all physical devices within cloud systems. Failure...

Real Time Scheduling Framework for Multi Object Detection via Spiking Neural Networks

Given the energy constraints in autonomous mobile agents (AMAs), such as unmanned vehicles, spikin...

Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?

In industrial settings, the accurate detection of anomalies is essential for maintaining product q...

Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers

To address the high risks associated with improper use of safety gear in complex power line enviro...

Improving Video Generation with Human Feedback

Video generation has achieved significant advances through rectified flow techniques, but issues l...

iMFP-LG: Identify Novel Multi-functional Peptides Using Protein Language Models and Graph-based Deep Learning.

Functional peptides are short amino acid fragments that have a wide range of beneficial functions fo...

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Runtime Analysis of Evolutionary Algorithms for Multiparty Multiobjective Optimization

In scenarios where multiple decision-makers operate within a common decision space, each focusing ...

Exploring EEG and Eye Movement Fusion for Multi-Class Target RSVP-BCI

Rapid Serial Visual Presentation (RSVP)-based Brain-Computer Interfaces (BCIs) facilitate high-thr...

BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization

Source-Free Domain Generalization (SFDG) aims to develop a model that performs on unseen domains w...

CpGeneAge: multi-omics aging clocks associated with Nf-κB signaling pathway in aging

Aging clocks have emerged as the primary tools for measuring biological aging and have been develope...

Functional immune state classification of unlabeled live human monocytes using holotomography and machine learning

Precise evaluation of immune status is critical for managing diseases such as sepsis, in which the i...

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