Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion

Error detection is crucial in industrial training, healthcare, and assembly quality control. Most ex...

A protocol for evaluating robustness to H&E staining variation in computational pathology models

Sensitivity to staining variation remains a major barrier to deploying computational pathology (CPat...

A Standardized Framework For Evaluating Gene Expression Generative Models

The rapid development of generative models for single-cell gene expression data has created an urgen...

Automated extraction and optimization of protein purification protocols using multi-agent large language models

Recent advances in Large Language Models (LLMs) present new opportunities for automating critical bo...

A dataset of medication images with instance segmentation masks for preventing adverse drug events

Medication errors and adverse drug events (ADEs) pose significant risks to patient safety, often ari...

SwiftTCR: Efficient Computational Docking protocol of TCRpMHC-I Complexes Using Restricted Rotation Matrices

The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...

ICDAR 2025 Competition on End-to-End Document Image Machine Translation Towards Complex Layouts

Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from o...

QualiTeacher: Quality-Conditioned Pseudo-Labeling for Real-World Image Restoration

Real-world image restoration (RWIR) is a highly challenging task due to the absence of clean ground-...

Multimodal Large Language Models as Image Classifiers

Multimodal Large Language Models (MLLM) classification performance depends critically on evaluation ...

ICHOR: A Robust Representation Learning Approach for ASL CBF Maps with Self-Supervised Masked Autoencoders

Arterial spin labeling (ASL) perfusion MRI allows direct quantification of regional cerebral blood f...

Improved Classification of Acute Physical Fatigue Using Salivary Proteomic Biomarkers: An Exploratory Study

Introduction: Physical fatigue is a key determinant of operational readiness in the physically deman...

QCAgent: An agentic framework for quality-controllable pathology report generation from whole slide image

Recent methods for pathology report generation from whole-slide image (WSI) are capable of producing...

DLEBench: Evaluating Small-scale Object Editing Ability for Instruction-based Image Editing Model

Significant progress has been made in the field of Instruction-based Image Editing Models (IIEMs). H...

Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning

Objective: The objective of this study is to develop a machine learning (ML)-based framework for ear...

Randomized Trial Protocol: Epic Generative AI Chart Summarization Tool to Reduce Ambulatory Provider Cognitive Task Load

Background: EHR documentation and chart review contribute to clinician workload and burnout. To alle...

Learning lifetime disease liability reveals and removes genetic confounding in electronic health records

Electronic health records (EHRs) have become the cornerstone of population-scale genetic studies1, b...

Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomize...

Life-course comorbidity patterns and integrated prediction of postpartum depression, multimorbidity, and symptom progression

Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...

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