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Patient safety / Risk Management

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

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Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...

Jun 2025 40468627
Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?

Although still limited, the integration of artificial intelligence (AI) in health care has rapidly e...

Jun 2025 40397845
Self-supervised multi-modality learning for multi-label skin lesion classification.

BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical...

Jun 2025 40184849
The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection

As large language models (LLMs) become increasingly integrated into hiring processes, concerns abo...

Security Benefits and Side Effects of Labeling AI-Generated Images

Generative artificial intelligence is developing rapidly, impacting humans' interaction with infor...

Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented Generation

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

Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs

Despite the success of recommender systems in alleviating information overload, fairness issues ha...

A Survey on Multilingual Mental Disorders Detection from Social Media Data

The increasing prevalence of mental health disorders globally highlights the urgent need for effec...

TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs

Recent progress in Multimodal Large Language Models (MLLMs) have significantly enhanced the abilit...

Dark LLMs: The Growing Threat of Unaligned AI Models

Large Language Models (LLMs) rapidly reshape modern life, advancing fields from healthcare to educ...

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
Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare

The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and ...

Unmasking the Canvas: A Dynamic Benchmark for Image Generation Jailbreaking and LLM Content Safety

Existing large language models (LLMs) are advancing rapidly and produce outstanding results in ima...

ChatGPT for automated grading of short answer questions in mechanical ventilation

Standardised tests using short answer questions (SAQs) are common in postgraduate education. Large...

WorldGenBench: A World-Knowledge-Integrated Benchmark for Reasoning-Driven Text-to-Image Generation

Recent advances in text-to-image (T2I) generation have achieved impressive results, yet existing m...

PHSafe: Disclosure Avoidance for the 2020 Census Supplemental Demographic and Housing Characteristics File (S-DHC)

This article describes the disclosure avoidance algorithm that the U.S. Census Bureau used to prot...

Artificial Intelligence and Publishing Ethics: A Narrative Review and SWOT Analysis.

Artificial intelligence (AI), after surviving two major AI winters (1974-1980 and 1987-2000), is now...

May 2025 40519439
Ethical risks in robot health education: A qualitative study.

BackgroundAs health education robots may potentially become a significant support force in nursing p...

May 2025 39138639
REDEditing: Relationship-Driven Precise Backdoor Poisoning on Text-to-Image Diffusion Models

The rapid advancement of generative AI highlights the importance of text-to-image (T2I) security, ...

Robustness and sex differences in skin cancer detection: logistic regression vs CNNs

Deep learning has been reported to achieve high performances in the detection of skin cancer, yet ...

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