Artificial Intelligence Medical Compendium

BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred... read more 

BACKGROUND: Major depressive disorder (MDD) presents significant public health challenges due to its increasing prevalence and complex risk factors. This study systematically analyzed data from 2019 to 2023 to explore trends in MDD incidence, symptom... read more 

CdSexTe1-x is one of the most commercially successful absorber materials for thin-film solar cells, where Se doping is crucial for enhancing device efficiency. However, the microscopic control mechanisms are not yet clear. This study combines density... read more 

Despite significant efforts, the realization of the hybrid quantum-classical algorithms has predominantly been confined to proof-of-principles, mainly due to the hardware noise. With fault-tolerant implementation being a long-term goal, going beyond ... read more 

Glass-forming liquids exhibit slow dynamics below their melting temperatures, maintaining an amorphous structure reminiscent of normal liquids. Distinguishing microscopic structures in the supercooled and high-temperature regimes remains a debated to... read more 

Exciton couplings between molecules in organic semiconductors are important parameters for simulating exciton diffusion, but they are time-consuming to compute from first-principles. Previous works have developed machine-learned models to predict exc... read more 

The development of machine learning (ML) methods has made quantum chemistry (QC) calculations more accessible by reducing the computational cost incurred in conventional QC methods. This has since been translated into the overhead cost of generating ... read more 

PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic challenges due to underlying biological heterogeneity and variable clinical course. Traditional diagnostic and prognostic tools are limited in their ab... read more 

There is a growing interest in anionic redox chemistry to improve the energy densities of rechargeable batteries, and the reversible chlorine/chloride reactions are a promising option for low-temperature applications. As such, understanding Cl adsorp... read more 

The accurate characterization of the potential energy surface (PES) is fundamental to understanding molecular structures and chemical reaction mechanisms. Traditional approaches, such as ab initio calculations and empirical force fields, struggle to ... read more