Artificial Intelligence Medical Compendium

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ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (Chuan-Mu-Xiang), and Inula helenium (Tu-Mu-Xiang), perennial species of the Asteraceae family, are commonly used in traditional Chinese medicine for t... read more 

Hydrogels are widely used in drug delivery due to their biocompatibility and tunable release properties. However, optimizing hydrogel formulations to the desired release of therapeutics remains experimentally intensive. In this study, we developed an... read more 

BACKGROUND: Artificial intelligence (AI)-based predictive systems generate heat maps that highlight informative regions as proxy explanations for diagnostic predictions. Comparing AI- and dermatologist-derived heat maps may help determine whether AI ... read more 

BACKGROUND: This study was conducted to examine the effects of eHealth and artificial intelligence literacy on disease self-management in patients with diabetes. METHODS: The cross-sectional study was conducted with 212 patients with diabetes who wer... read more 

OBJECTIVES: The advent of machine and deep learning has raised the possibility of increased efficiency and indeed improved accuracy in relation to the interpretation of clinical images. Moreover, the use of deep learning has become imbedded within or... read more 

The peripersonal space is a multisensory interface between the body and the environment, which can be modulated by the presence of objects or other agents. However, how the presence of artificial agents affects the representation of peripersonal spac... read more 

Curvature is an essential geometric motif in biological redox centers, yet its catalytic role in heterogeneous systems remains largely unexplored. Here we establish curvature engineering as a general strategy to modulate the activity of MN4 single-at... read more 

In the high-throughput screening of molecules with desired excited-state properties, machine learning offers an efficient alternative to quantum chemical calculations but suffers from limited excited-state data. Here, we introduce a transfer learning... read more 

INTRODUCTION: Medication reconciliation (MR) in the emergency department (ED) is essential to ensure medication safety, especially for patients admitted to the hospital. However, performing MR for all ED patients, including those discharged, can be i... read more