AI Medical Compendium

Cavitation-enhanced carbonation for nano-ZnO synthesis via an ultrasonic-jet coupled reactor: Machine learning prediction and multi-objective optimization using a genetic algorithm.

Ultrasonics sonochemistry Apr 17, 2026

Nano-sized zinc oxide (Nano-ZnO) is of significant interest in catalysis, adsorption, rubber reinforcement, and electronic devices due to its high specific surface area, tunable crystal structure, and superior interfacial properties. However, the tra... read more

NeuroBACE-ML: A reliability-aware screening framework for high-throughput prioritization of potent BACE1 inhibitors.

Journal of molecular graphics & modelling Apr 17, 2026

Beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) is a key enzyme in amyloid-β generation and remains an important target in Alzheimer's disease (AD) drug discovery. Here, we present NeuroBACE-ML, a reliability-aware screening framework f... read more

Assessing the methodological quality of machine learning approaches in diagnostic accuracy meta-analyses: Insights from a recent study of 109 articles.

European journal of cancer (Oxford, England : 1990) Apr 17, 2026

Integrating actigraphy with demographic data enhances cognitive performance prediction: a multimodal UK biobank analysis using machine learning.

International journal of medical informatics Apr 17, 2026

BACKGROUND: Wrist-worn actigraphy enables continuous, non-invasive measurement of rest-activity patterns and has growing relevance for cognitive health. However, it remains unclear whether actigraphy provides meaningful predictive value for cognitive... read more

Automatic selection of optical coherence tomography images for prognostic prediction models in age-related macular degeneration.

Computer methods and programs in biomedicine Apr 17, 2026

BACKGROUND AND OBJECTIVE: Age-related macular degeneration (AMD) is a leading cause of blindness. Current standard treatments require frequent intravitreal injections and entail high costs, placing a heavy burden on patients and healthcare providers.... read more

Uncertainty-aware AI for tumor subtyping with histology and immunohistochemistry: A multi-center study in Renal Cell Carcinoma.

Computer methods and programs in biomedicine Apr 17, 2026

BACKGROUND AND OBJECTIVE: Accurate classification of Renal Cell Carcinoma (RCC) subtypes is essential for personalized therapy, as prognostic outcomes and treatment responses differ markedly among subtypes. Most artificial intelligence applications i... read more

Multiparametric AI-based perfusion analysis outperforms Tmax thresholding for critically hypoperfused tissue estimation in acute ischemic stroke undergoing admission MRI.

European journal of radiology Apr 17, 2026

OBJECTIVE: Perfusion imaging is used to estimate critically hypoperfused tissue in acute ischemic stroke (AIS), commonly using threshold-based methods. This study compared an artificial intelligence (AI)-driven multiparametric approach with conventio... read more

Accelerating real-world data collection using large language models in rare neoplasms: a bone sarcoma example.

ESMO real world data and digital oncology Apr 17, 2026

BACKGROUND: Real-world data collection in oncology remains a challenge due to the complex and unstructured format of medical notes. Recently, large language models (LLMs) have demonstrated success in extracting information from free-text data across ... read more

Investigation of the use of urinary proteomics in the prediction of childhood asthma.

Respiratory medicine Apr 17, 2026

PURPOSE: Urinary proteomics may help us improve our understanding and classification of asthma. We sought to identify clusters of children based on urinary protein profiles and explore associations between these clusters, specific proteins, and asthm... read more

Automated vertebral heart size estimation from thoracic radiographs in dogs with AI-assisted clinical decision support.

Veterinary journal (London, England : 1997) Apr 17, 2026

Cardiomegaly is a clinically significant indicator of cardiac disease in canine companion animals, where early and accurate detection is essential for effective treatment planning. Vertebral Heart Size (VHS) measurement from thoracic radiographs is a... read more

Artificial Intelligence Medical Compendium