Successful development, regulatory review, and clinical implementation of artificial intelligence (AI) systems in medicine require clear, unambiguous communication about AI models and datasets. The Radiology Ontology of AI Datasets, Models, and Proje... read more
Trust calibration is critical for productive human-AI collaboration in production management, yet the impact of brief explanations on trust and reliance for black-box schedulers remains unclear. We conducted a between-subjects online experiment in fl... read more
BACKGROUND: The hypothalamus as one of the core structures in metabolic control is increasingly recognized to be morphologically altered in various neurodegenerative diseases. OBJECTIVE: The purpose of this study was to quantitatively investigate the... read more
Environmental monitoring and assessment
Mar 11, 2026
Land-use and land-cover change (LULCC) is one of the key drivers altering terrestrial ecosystem carbon storage. Accurate simulation of LULCC is crucial for assessing ecosystem sustainability and formulating global climate change mitigation strategies... read more
Detection of trace levels of volatile organic compounds (VOCs) has widespread applications, including wearable diagnostics, IoTs, and indoor air quality control. Although metal oxide semiconductors (MOS) arguably offer the best sensitivity for a wide... read more
Artificial intelligence (AI) is increasingly shaping radiology, though its integration into paediatric radiology has progressed more slowly due to challenges specific to the paediatric population. This is especially true in the field of paediatric ab... read more
Color standardization in digital pathology is essential for ensuring consistency across Whole Slide Imaging (WSI) scanners. This study utilizes color data from multiple WSI scanners captured from a slide containing 55 color patches with histology sta... read more
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