Artificial Intelligence Medical Compendium

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

Showing 43,551 to 43,560 of 224,055 articles

Prognostic Significance and Immune Landscape of Migrasome-Related Genes in Pancreatic Cancer.

Applied biochemistry and biotechnology
Pancreatic cancer is characterized by early metastasis and high aggressiveness, highlighting the need for novel molecular biomarkers to improve prognostic assessment and therapeutic strategies. In this study, we constructed a migrasome-related progno... read more 

Synthetic skin image generation using a physics-based, object-to-image computational pipeline.

International journal of computer assisted radiology and surgery
PURPOSE: We describe an extended overview and evaluation of the S-SYNTH skin simulation approach (Kim et al. in MICCAI, Springer, pp 734-744, 2024), a knowledge-based skin simulation approach to generate synthetic skin images for aiding artificial in... read more 

Discovering naturally occurring antifreeze peptides from microbiome by integrating protein language models and molecular dynamics simulation.

Journal of materials chemistry. B
Antifreeze peptides inhibit ice crystal growth and recrystallization, and are promising components of cryoprotective formulations for cell, tissue, and food preservation, as well as anti-icing surface coatings. However, the discovery of new antifreez... read more 

Unexpected Applications of AlphaFold in Molecular Sciences.

Annual review of biochemistry
AlphaFold, a groundbreaking artificial intelligence model developed by DeepMind, has transformed the field of structural biology by predicting protein structures with unprecedented accuracy. Despite its widespread recognition and application across a... read more 

Explainable Deep Learning for Cyber Threat in IoMT: A Synchronization-Enhanced Sparse Autoencoder Approach.

IEEE journal of biomedical and health informatics
The interconnected medical devices and networks face escalating cyber threats that demand intelligent detection mechanisms. Traditional deep learning approaches for cyber threat intelligence (CTI) in healthcare networks suffer from the black-box prob... read more 

Spatio-temporal characterization of gastric distensibility in upper endoscopy identifies the presence of Helicobacter pylori.

IEEE transactions on medical imaging
Assessment of gastric distensibility is crucial for understanding various gastrointestinal disorders, particularly those affecting gastric motility and reflux conditions. Gastric distensibility can be altered by pathological conditions such as liniti... read more 

Discovery of Peripheral Airway Beyond Incomplete CT Annotations for Navigational Bronchoscopy.

IEEE transactions on medical imaging
Sensitive reconstruction of peripheral airway branches is critical for bronchoscopic navigation, yet existing deep learning (DL) methods often struggle with incomplete annotations and variability in CT acquisitions. We propose ASTRA-Net, a DL framewo... read more