Latest AI and machine learning research in surveys for healthcare professionals.
Objective: We investigate whether accounting for epistemic uncertainty can improve the reliability o...
Event cameras record asynchronous log-image-irradiance changes with microsecond latency and high dyn...
Several discrete design tasks, such as molecular discovery, require diverse collections of useful ca...
Background: Quality Control Circle (QCC) reports are often reviewed qualitatively, but reviewer work...
Depression in Alzheimer's disease (AD) is clinically challenging to characterise because affective a...
Objective To evaluate the information quality, reliability, readability, and content deficits of Cha...
Anticipatory neurophysiological activity before unpredictable emotional events has been reported for...
An Ischemic stroke is one of the main causes of death and long-term disability around the world. The...
Time-series forecasting models achieve strong benchmark performance but exhibit severe systematic bi...
Background: System One Model is designed for structured decision-making and can provide probabilisti...
Background: Artificial intelligence (AI) is increasingly used in healthcare, but data on its real-wo...
Conversational systems based on large language models may support point-of-care evidence retrieval, ...
Existing roadside traffic datasets support perception, forecasting, and visual question answering, b...
BackgroundEarly-life air pollution exposure has been associated with childhood asthma, but its relat...
Vibrational spectral prediction can become inaccurate when localized stereoelectronic environments p...
Deep clustering is a powerful approach for discovering meaningful structures in high-dimensional dat...
PPG-to-vital-sign reconstruction turns a wrist-worn photoplethysmogram into clinical waveforms such ...
In-context learning (ICL) enables large vision-language models (LVLMs) to perform tasks by following...
Calibration count reuse raises separate validity and efficiency questions. We give a validity criter...
Intuitive physical reasoning is an important part of daily life, but the computations underlying it ...
Text-to-image (T2I) models are typically evaluated for bias using slot-based templates such as ``a p...