Intensivists

Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and sepsis. Studies have demonstrated its role in the setting of sepsis and acute pancreatitis. This study aims to analyze and compare the prognostic efficacy of plasma procalcitonin strip test in acute pancreatitis. A prospective study was conducted in the department of general surgery from June 2012 t...

MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception

Large-scale training and refined optimization techniques have greatly improved sparse multi-view 3D reconstruction. Despite their relevance to surgery, such methods have never before been rigorously evaluated on real endoscopic images. Current clinical telerobots deploy a single stereo camera inside the patient, making multi-viewpoint data extremely rare. This paper presents MV-dVRK, the first ex-...

Novel Entropy-Based Framework for Quantifying Dynamic Epistemic Uncertainty in Clinical Medicine

The widespread adoption of clinical large language models (LLMs) introduces significant risks of automation bias, premature closure, and clinician des...

PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback

Recent efforts have aimed to automate scientific diagram generation from paper content (Lin et al., 2026; Zhu et al., 2026a). However, fully satisfyin...

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target th...

Fine-Grained Multi Image Object Hallucination Benchmark

Multimodal Large Language Models (MLLMs) are increasingly deployed in multi-image scenarios requiring complex reasoning across visual contexts. Howeve...

PhenoIntel: A Lifecycle-Aligned Multi-Agent Web Application for Verified, Accessible Plant Phenotype Analysis

Existing conversational plant-phenotyping platforms are difficult for plant scientists to use and lack the reliability scientific research demands: fa...

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

Antimicrobial peptides (AMPs) often act against multiple pathogen classes, making multi-label activity prediction a more realistic screening target th...

Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study

Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsely discretized and calibrated to a...

AdaptiveEmbed: Sample-Adaptive Multi-Vector Representation for Multimodal Retrieval

Multi-vector representations have emerged as an effective paradigm for multimodal retrieval, representing each sample with multiple complementary embe...

MIMONet: Multi-scale Input and Multi-scale Output Network for Salient Object Detection

The existing methods for saliency detection task focus on the application of multi-level features, aiming to take advantage of the respective strength...

See More, Detect Less? Taming Information Leakage in Multi-View Anomaly Detection

In multi-view anomaly detection, more cross-view information can actually hurt. When multiple inspection views are naively fused in a reconstruction-b...

Offline Reinforcement Learning for Out-of-Distribution ICU Sepsis Decision Support

Offline reinforcement learning (RL) provides a promising framework for learning and evaluating treatment policies from logged clinical data, particula...

WeMM-Embedding: WeChat Multi-Modal Embedding Technical Report

Universal multimodal embeddings are becoming a core component of modern AI systems, enabling heterogeneous content to be represented in a shared space...

Learning Spherical Occupancy Profiles for Multi-View 3D Reconstruction and Generation

We study spherical occupancy profiles-the ray-wise occupancy probability profiles P(r) = T(r) o(r) distilled from multi-view 3D Gaussian reconstructio...

Direct, Parallel, or Sequential? A Comparative Study of Training-Free Multi-Subject Image-to-Video Generation

Text-conditioned image-to-video (I2V) generation has advanced rapidly, yet generating videos with multiple subjects remains challenging. A model must ...

Learning Spherical Occupancy Profiles for Multi-View 3D Reconstruction and Generation

We study spherical occupancy profiles-the ray-wise occupancy probability profiles P(r) = T(r) o(r) distilled from multi-view 3D Gaussian reconstructio...

Local retraining mitigates domain shift in sepsis prediction: Lessons from translating a neonatal model to mixed intensive care data

Background: Machine learning models leveraging electronic health records (EHRs) can support earlier detection of sepsis in intensive care units (ICUs)...

Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation

Autonomous endovascular navigation could support the delivery of mechanical thrombectomy to underserved areas, but controllers must navigate long, mul...

Multi-Class Electrical and Mechanical Fault Classification Using Random Convolutional Kernels

Diagnosing faults in rotating machinery is essential for ensuring the reliability of industrial processes. Random convolutional kernel-based Time Seri...