Artificial Intelligence Medical Compendium

OBJECTIVES: To accurately identify the anatomical structure and trajectory of the mandibular canal, helping dentists avoid surgical risks and develop effective treatment plans, this study aimed to develop a deep learning model for rapidly diagnosing ... read more 

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Uncertainty in air quality models can lead to divergent assessments of emission control policies. Here, we investigate why two widely used chemical mechanisms in the Weather Research and Forecasting model with Chemistry (WRF-Chem) predict inconsisten... read more 

Technologies that rely on artificial intelligence are of increasing prominence in protein science. To a casual observer it may appear that human inputs are of diminishing importance in research. This Perspective emphasizes the essential contributions... read more 

A thorough mechanistic investigation into the disulfonimide (DSI)-catalyzed atroposelective iodination of 2-amino-6-arylpyridines with N-iodosuccinimide is described. While initially hypothesized to proceed via Brønsted-acid catalysis through activat... read more 

Peroxisome proliferator-activated receptor γ (PPARγ) is a key therapeutic target for type 2 diabetes and cardiovascular diseases due to its central role in regulating glucose and lipid metabolism. While full PPARγ agonists exhibit efficacy, they are ... read more 

BACKGROUND: Artificial intelligence (AI) technologies are increasingly incorporated into restorative and esthetic dentistry; however, their reliability across the complete laminate-veneer workflow remains uncertain. OBJECTIVES: To systematically eval... read more 

Assessing small-molecule blood-brain barrier permeability is laborious, yet critical in drug development. Quantitative prediction models are hindered by a lack of high-quality data set. To address this, we curated PETBD, a novel data set of drug conc... read more 

Chronic pain is linked to accelerated brain aging, often measured through the brain-age gap (BAG), the difference between chronological age and neuroimaging-derived brain age. Whether endogenous pain modulation declines with brain aging remains unkno... read more 

Resting metabolic rate (RMR) is modulated by a variety of factors. Accurate prediction of RMR is essential for planning energy requirements but remains challenging due to interindividual variability. This study aimed to develop and evaluate machine l... read more