Artificial Intelligence Medical Compendium

Lameness is a major welfare and productivity concern in dairy herds. This study investigated the influence of animal traits (parity, BCS) and environmental factors (farm, season) on locomotion score (LS) in lactating cows and assessed the impact of l... read more 

INTRODUCTION: Moyamoya disease (MMD) and syndrome (MMS) are rare cerebrovascular arteriopathies marked by progressive internal carotid stenosis, fragile collateral networks, and a five-year stroke risk near 10% despite optimal care. Artificial-intell... read more 

OBJECTIVE: To construct and validate a model for predicting lymph node metastasis (LNMs) of gastric cancer (GC) based on 18F-FDG PET/CT multi-parameter data and multiple machine learning (ML) algorithms. METHODS: We conducted a retrospective analysis... read more 

BACKGROUND: Over 50% of women evaluated for suspected ischemia have no obstructive coronary artery disease (INOCA). Statins, angiotensin converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB) are effective in intermediate outcome ... read more 

Open field test (OFT) is one of the widely used pre-clinical models for assessing the exploratory, locomotion and anxiety behavior of rodents. OFT parameters are often analyzed manually or by using automated systems. Although many softwares exist for... read more 

BACKGROUND: Mild cognitive impairment (MCI), a precursor to Alzheimer's disease (AD), requires precise early diagnosis. Single-omics approaches often miss disease complexity, motivating integrative and interpretable solutions. NEW METHOD: We present ... read more 

With the rapid expansion of tire production, the antioxidant N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD) and its transformation product, 6PPD-quinone (6PPDQ), have emerged as widespread environmental contaminants with demonstrated toxic... read more 

OBJECTIVE: Standard Automated Perimetry (SAP) is the primary method for monitoring glaucoma progression and an established functional endpoint in clinical trials. A ≥7 dB loss in at least five prespecified test locations has been proposed as a potent... read more 

Hydrochar produced via hydrothermal treatment (HTT) is an emerging carbonaceous material whose properties are strongly governed by N-containing functional groups (NCFGs). In this study, machine learning (ML) was applied to predict and regulate four k... read more 

Thyroid-associated ophthalmopathy (TAO), the most common orbital disease in adults, is a specific autoimmune condition closely associated with thyroid dysfunction, primarily affecting orbital fat and extraocular muscles. Multiparametric magnetic reso... read more