Artificial Intelligence Medical Compendium

Dysphagia in older adults causes serious complications, and efficient and scalable screenings are needed. This prospective multicenter study developed interpretable machine learning (ML) models for the early identification and staging of dysphagia. N... read more 

The biological clock enables organisms to align their intrinsic rhythms with daily environmental cycles thereby maintaining homeostasis and imparting resilience against metabolic derangements. Endocrine hormones and neural networks are key mediators ... read more 

The aim of this study was to distinguish canine lymphoma from other diseases, particularly reactive lymphoid hyperplasia (RLH), based on fine needle aspiration (FNA) images. We developed four deep learning models based on Vision Transformer (ViT) and... read more 

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 

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 

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 

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 

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 

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 

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