Hospital-Based Medicine

Risk Management

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

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Beyond Explainability: The Case for AI Validation

Artificial Knowledge (AK) systems are transforming decision-making across critical domains such as...

Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains

Semi-Supervised Federated Learning (SSFL) is gaining popularity over conventional Federated Learni...

Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation

Long-form question answering (LFQA) presents unique challenges for large language models, requirin...

The Role of AI in Early Detection of Life-Threatening Diseases: A Retinal Imaging Perspective

Retinal imaging has emerged as a powerful, non-invasive modality for detecting and quantifying bio...

Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions.

In recent years, the fusion of the medical and computer science domains has gained significant tract...

May 2025 40420280
GhostPrompt: Jailbreaking Text-to-image Generative Models based on Dynamic Optimization

Text-to-image (T2I) generation models can inadvertently produce not-safe-for-work (NSFW) content, ...

OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks

Recent breakthroughs in large multimodal models (LMMs), such as the impressive GPT-4o-Native, have...

Monitoring in the Dark: Privacy-Preserving Runtime Verification of Cyber-Physical Systems

In distributed Cyber-Physical Systems and Internet-of-Things applications, the nodes of the system...

Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling

Large language models (LLMs) hold significant potential for mental health support, capable of gene...

Better Safe Than Sorry? Overreaction Problem of Vision Language Models in Visual Emergency Recognition

Vision-Language Models (VLMs) have demonstrated impressive capabilities in understanding visual co...

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset

Large Language Models (LLMs) are increasingly integrated into critical systems in industries like ...

Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review

Suicide remains one of the main preventable causes of death among active service members and veter...

CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs

Large language models (LLMs) are increasingly deployed in medical contexts, raising critical conce...

SECRET: Semi-supervised Clinical Trial Document Similarity Search

Clinical trials are vital for evaluation of safety and efficacy of new treatments. However, clinic...

Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability

The proliferation of AI agents requires robust mechanisms for secure discovery. This paper introdu...

Enhancing Clinical Decision Support: A Heuristic Evaluation of Explainable AI in Healthcare Dashboards.

Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency, interpretability an...

May 2025 40380452
QUIC Steps: Evaluating Pacing Strategies in QUIC Implementations

Pacing is a key mechanism in modern transport protocols, used to regulate packet transmission timi...

Information Leakage in Data Linkage

The process of linking databases that contain sensitive information about individuals across organ...

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