Artificial Intelligence Medical Compendium

BACKGROUND: Post-stroke dysphagia (PSD) significantly increases the risk of aspiration-related pneumonia. While prior studies have linked abnormal temporal coordination of swallowing motions to aspiration, limited efforts have been made to explore it... read more 

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Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on expert interpretation. MoldVision is a deep-learning approach that uses smartphone images of mold cultures to automate identification. We analyzed 161 cl... read more 

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Cerebral blood flow (CBF) is under homeostatic control via cerebral autoregulation, maintaining a constant blood supply to brain parenchyma by integrating myogenic, metabolic, and neurogenic inputs across the neurovascular unit to stabilise perfusion... read more 

Plastic pollution in aquatic environments has become a growing global concern, with floating macroplastics posing serious ecological, economic, and health risks from inland water bodies to remote coastal zones. Despite advances in satellite remote se... read more 

As autonomous driving advances to higher levels, conventional decision-making algorithms for autonomous vehicles (AVs) often inadequately address long-tail issues composed of low-frequency, high-uncertainty, and extreme scenarios, leading to recurren... read more 

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PINNs, enabling the assimilation of physical laws and sparse observational data into deep models, have been a powerful method for rapid prediction of complex physical phenomena. However, due to high dimensionality, nonlinearity and multi-scale behavi... read more 

We have investigated the liquid-liquid phase separation from a homogeneous liquid phase and the subsequent liquid droplet phase evolution upon cooling, using in-situ observation. The transparent monotectic material succinonitrile-0.82 wt.-frac. water... read more