UNLABELLED: Artificial intelligence (AI) tools such as ChatGPT are rapidly being adopted in medical education, yet evidence regarding their impact on learners' history-taking (anamnesis) skills remains limited. This gap is particularly relevant in wo... read more
Neuromorphic hardware can mitigate the unsustainable energy demand of artificial intelligence infrastructure. Photonic approaches provide high speed, low energy, and high connectivity but existing solutions have large circuit footprints which limits ... read more
The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advancement in modern operative medicine. In endoscopic thyroidectomy, safeguarding the recurrent laryngeal nerve (RLN) is of critical importance due to its... read more
Bacterial biofilms are complex, spatially organized microbial communities that exhibit enhanced resistance to antibiotics and contribute to chronic infections. Understanding their structure, especially during early formation stages, is critical for d... read more
Aging is a complex, multifactorial process, influencing disease risk and overall health. While chronological age (CA) is widely used in clinical practice, it fails to capture individual aging trajectories. Current approaches to estimate biological ag... read more
This paper introduces a dataset and an experimental study on Decentralized Federated Learning (DFL) for Internet of Things (IoT) crowdsensing malware detection. The dataset comprises behavioral records from benign and eight malware attacks. A total o... read more
Rapid response to ocean disturbance that has tsunamigenic potential requires characterisation of that disturbance. Traditional methods assume seismic sources, which can lead to suboptimal accuracy for non-seismic events. Some more recent approaches u... read more
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