Prioritizing artificial intelligence (AI)-detected imaging findings may reduce the time to diagnosis of lung cancer. This prospective, multicentre, randomized controlled trial tested whether immediate AI prioritization of primary care-requested chest... read more
Underwater object detection is crucial for marine engineering yet challenged by complex optical properties causing blurring, low contrast, and texture loss. Furthermore, deploying deep learning models on resource-constrained platforms necessitates ba... read more
Machine learning (ML) has been widely applied to accelerate the design and discovery of new molecules and materials. Recently, there has been growing interest in integrating ML into the design of heterogeneous catalysts, including nanoparticle cataly... read more
Accurate recognition of high-difficulty movements and secure management of training data remain critical challenges in the domain of intelligent aerobics training. This study introduces a novel framework that integrates convolutional neural networks ... read more
Groundwater sustainability in Central and Southern Arizona is threatened by prolonged droughts, rising temperatures, reduced surface water supplies, and groundwater overdraft. Recent studies indicate accelerating declines in regional groundwater stor... read more
This work aims to produce AZ31 Mg alloy reinforced with 15 vol.% TiC utilizing a unique Friction Stir mechanical vibration Processing (FSVP) technology, emphasizing the improvement in tribological properties of the produced composite. The dry sliding... read more
Individual differences in neural circuits underlying emotional regulation, motivation, and decision-making are implicated in many psychiatric illnesses. Interindividual variability in these circuits may manifest, at least in part, as individual diffe... read more
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