Artificial Intelligence Medical Compendium

OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, applied in addition to conventional rehabilitation program, on cognitive functions after stroke. Secondary aim was to investigate its effects on upper e... read more 

OBJECTIVE: This study aimed to develop an automated system for skeletal maturity staging using deep learning (DL) models of hand-wrist radiographs based on Fishman's method. METHODS: In total, 2,318 hand-wrist radiographs of patients aged 8-19 years ... read more 

Molecular simulation techniques have become an invaluable tool for elucidating the fundamental principles of life at the molecular level. After nearly five decades of development, biomolecular simulations have evolved to enable the quantitative chara... read more 

Deep learning has been extensively applied to medical imaging tasks over the past years, achieving outstanding results. However, the obscure reasoning of the models and the lack of supportive evidence causes both clinicians and patients to distrust t... read more 

The development of robust oral tablet formulations remains time-consuming, often limited by scarce data and the difficulty of incorporating categorical formulation variables into predictive models. Traditional regression methods are interpretable but... read more 

Excessive accumulation of reactive oxygen and nitrogen species (RONS) exacerbates inflammatory responses and contributes to the progression of psoriasis. In particular, ROS activate the STAT3 pathway, inducing abnormal proliferation of keratinocytes ... read more 

BACKGROUND: Depression is a prevalent and debilitating mental disorder with limited treatment options. Curcumin, a natural compound with neuroprotective and anti-inflammatory properties, has shown potential antidepressant effects, though the underlyi... read more 

We present SapBark-64, a curated dataset of 5742 close-range bark images from 64 fruit-tree sapling classes (species/cultivar). Images were acquired in situ at three commercial nurseries in Trabzon (Türkiye) in 2025, targeting 1-2-year saplings routi... read more 

This study introduces a multi-part dataset designed to support the development of artificial intelligence models for banana bunch detection and harvesting decision-making. The dataset includes images collected from four different fields in Madeira Is... read more 

OBJECTIVES: To address the challenge of analyzing large volumes of patient safety event (PSE) reports, we developed and evaluated an AI-powered software tool. The primary goal was to assess the tool's potential to support analysts and uncover novel t... read more