Artificial Intelligence Medical Compendium

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

Showing 30,741 to 30,750 of 220,177 articles

DualGPT-AB: a dual-stage generative optimization framework for therapeutic antibody design.

Nature computational science
Realizing the therapeutic potential of antibodies requires simultaneously optimizing multiple properties, such as antigen-binding specificity, viscosity, clearance and immunogenicity. However, existing methods used for this task are time consuming an... read more 

Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers.

Nature human behaviour
A central objective in human neuroimaging is to understand the neurobiology underlying cognition and mental health. Machine learning models trained on neuroimaging data are increasingly used as tools for predicting behavioural phenotypes, enhancing p... read more 

Deep learning for pediatric synovial recess distension detection in hemophilia: synthetic image augmentation with styleGAN2-ADA.

International journal of computer assisted radiology and surgery
PURPOSE: Pediatric musculoskeletal ultrasound (MSKUS) datasets are scarce, especially for rare, sex-linked conditions such as hemophilia. Models trained on adult data have limited generalizability due to anatomical differences. We aimed to improve pe... read more 

Malignant Cerebral Edema after Large-Core Anterior Circulation Stroke in the Thrombectomy Era: Prediction and Neurocritical Care Pathways.

Neurocritical care
Large-core anterior circulation ischemic stroke (LCIS) complicated by malignant cerebral edema (MCE) remains a leading cause of early death and profound disability even in the era of endovascular thrombectomy (EVT). As EVT indications have expanded t... read more 

Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review.

AAPS PharmSciTech
Wound healing is a dynamic and highly coordinated biological process involving hemostasis, inflammation, proliferation, and tissue remodeling. However, chronic wounds such as diabetic ulcers, burn injuries, and infected wounds often fail to progress ... read more 

Food safety assessment of hemipteran-specific insecticidal protein Tpp78Aa from Bacillus thuringiensis.

Pest management science
BACKGROUND: Hemipteran pests pose a significant threat to global agriculture, creating a continuous need for effective and safe control strategies. Tpp78Aa, a distinctive Bacillus thuringiensis (Bt) insecticidal protein, represents a breakthrough as ... read more 

In Situ Construction of Flexible Particle-in-Cavity Structured Film for Recyclable SERS Detection of Trace Multimicroplastics.

Analytical chemistry
Surface-enhanced Raman spectroscopy (SERS) is a promising method for identifying microplastics (MPs). Nonetheless, traditional solid SERS substrate-based detection often struggles with individual MPs, making it particularly difficult to detect multip... read more 

Comparing human-led reflective dialogue and AI-based tactical guidance as innovative training approaches in soccer: effects on tactical performance and problem-solving.

BMC sports science, medicine & rehabilitation
BACKGROUND: The integration of human-led reflective dialogue and artificial intelligence represents two emerging, contrasting approaches to tactical training in soccer. However, the comparative effectiveness of these approaches within applied trainin... read more 

Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts.

Journal of ovarian research
BACKGROUND: Ovarian cysts are a common pelvic disorder in women, and accurate differentiation between benign and malignant types is essential for guiding treatment decisions and prognostic evaluations. However, traditional ultrasound examinations hea... read more