Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 67,171 to 67,180 of 232,511 articles

Evaluation of AI chatbot responses to brachytherapy frequently asked questions.

Brachytherapy
PURPOSE: Patients are increasingly using artificial intelligence (AI) chatbots for health information. Evaluating their reliability for specialized topics, such as brachytherapy, is crucial for guiding their safe use. We assessed a readily accessible... read more 

Arrhythmia risk predictions from molecular simulations of cardiac ion channel-drug interactions.

Biophysical journal
Unintended block of cardiac ion channels, particularly hERG (KV11.1), remains a key concern in drug development as disruption of ion channel function can lead to deadly arrhythmia. To assess proarrhythmic risk, we investigated how drugs interact with... read more 

Time-resolved prediction of dental implant biomechanics through integration of finite element analysis, osseointegration dynamics, and deep learning.

Journal of the mechanical behavior of biomedical materials
BACKGROUND: Dental implant longevity depends on the complex interaction between mechanical stability and biological osseointegration. While finite element analysis (FEA) provides valuable mechanical insight, it remains static and computationally expe... read more 

Hardware-based brain tumor classification using graph Laplacian spectral features.

Brain research
Early and accurate identification of Brain Tumors (BT) is one of the most challenging problems due to the complex, non-Euclidean, and irregular characteristics of brain MRI data. Graph Signal Processing (GSP) offers a robust framework for accurately ... read more 

Amentoflavone from Ginkgo biloba inhibits EMT-driven lung cancer metastasis by targeting TGFBR2: Integrative network pharmacology, machine learning, and experimental validation.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: In non-small cell lung cancer (NSCLC), fatal outcomes predominantly result from metastatic dissemination, highlighting an urgent need for metastasis-directed therapies. Amentoflavone (AMF), a natural biflavonoid found ... read more 

Reduced left atrial strain from 4-dimensional computed tomography predicts atrial fibrillation recurrence after ablation.

Heart rhythm
BACKGROUND: Existing models that use clinical history and cardiac imaging data remain inadequate for accurate prediction of the success of catheter ablation for atrial fibrillation (AF). Local strain in the left atrium (LA) from 4-dimensional compute... read more 

Combining crystal engineering and surface engineering to estimate the structure -functions relationship of Tafamidis solid state forms with the aid of machine learning.

International journal of pharmaceutics
The mutual benefits of surface engineering and crystal engineering led to the discovery of a pharmaceutical cocrystal with balanced biopharmaceutical properties. The surface engineering of a pharmaceutical API (Active Pharmaceutical Ingredient), name... read more 

Bias, accuracy, and trust: no GenAI in peer reviewing.

Journal of neuroradiology = Journal de neuroradiologie
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Exploring shared diagnostic genes and molecular mechanisms in multiple sclerosis and psoriasis through bioinformatics analysis and machine learning.

Biochemical and biophysical research communications
BACKGROUND: Multiple sclerosis (MS) and psoriasis are both immune-mediated inflammatory diseases. Previous studies have reported comorbidity between MS and psoriasis, but the underlying mechanisms remain unclear. This study aims to elucidate the shar... read more 

Development of a stand-alone eHealth treatment: iCamperdown.

Journal of fluency disorders
PURPOSE: eHealth treatments have been developed for a range of conditions. They provide an accessible, cost-effective, and convenient model for clients and families to access treatment. The aim of this paper is to provide details and results of user ... read more