Journal-Article

Across generations, sizes, and types, large language models poorly report self-confidence in gastroenterology clinical reasoning tasks
This study evaluated confidence calibration across 48 large language models (LLMs) using 300 gastroenterology board exam-style …
Cite DOI
The impact of image size on bloodstain pattern analysis using machine learning
Classification of bloodstain patterns can occur at the scene or through (digital) images submitted for analysis and/or peer review. …
Cite DOI
Unsupervised machine learning for the detection and interpretation of key features in drip patterns
Bloodstain pattern analysis (BPA) is increasingly shifting towards more objective methodologies for pattern classification. This …
Cite DOI
A Survey of Accessible Explainable Artificial Intelligence Research
The increasing integration of artificial intelligence (AI) into everyday life makes it essential to explain AI-based decision-making in …
Cite DOI
Initial validity and reliability testing of the SGBA-5
Background A growing body of research indicates that sex (biological) and gender (sociocultural) influence health through a variety of …
Cite DOI
Exploring Accessible Explainable AI: Promising Avenues
The concept of Accessible Explainable Artificial Intelligence (AXAI) addresses the need for inclusive XAI design, focusing on …
Cite Article
Towards inclusive explainable artificial intelligence: a thematic analysis and scoping review on tools for persons with disabilities
Objective: Explainable Artificial Intelligence (XAI) offers transparent, trustworthy decision support, yet its implementation in …
Cite DOI
Is Trust Correlated With Explainability in AI? A Meta-Analysis
This study critically examines the commonly held assumption that explicability in artificial intelligence (AI) systems inherently …
Cite DOI
Reflective Artificial Intelligence
As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems …
Cite DOI
Entity linking for English and other languages: a survey
Extracting named entities text forms the basis for many crucial tasks such as information retrieval and extraction, machine …
Cite DOI