Artificial Intelligence Medical Compendium

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

Showing 36,491 to 36,500 of 223,137 articles

Geometric-Driven Cross-Modal Registration Framework for Optical Scanning and CBCT Models in AR-Based Maxillofacial Surgical Navigation.

IEEE transactions on bio-medical engineering
OBJECTIVE: Accurate preoperative planning for dental implants, especially in edentulous or partially edentulous patients, relies on precise localization of radiographic templates that guide implant positioning. By wearing a patient-specific radiograp... read more 

A fundus image dataset for intelligent diabetic retinopathy system.

Scientific data
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the global working-age population. At present, deep learning-integrated ultra-wide-field (UWF) image an... read more 

An end-to-end generalizable deep learning framework to comprehensively analyze transcriptional regulation.

Nature communications
Genome annotation currently requires performing dozens of molecular assays in hundreds of cell and tissue samples, an expensive endeavor which is impractical to replicate across all species and conditions of interest. Here, we introduce BioSeq2Seq, a... read more 

Manifold topological deep learning for biomedical data.

Nature communications
Recently, topological deep learning (TDL), which integrates algebraic topology with deep neural networks, has achieved significant success in processing point-cloud data and has emerged as a promising paradigm in data science. However, TDL has not be... read more 

Explainable Deep Learning-Guided Screening of LiNO3-Based Molten-Salt Phase Change Materials for Lithium-Ion Battery Safety.

Analytical chemistry
LiNO3-based high-temperature phase change materials (PCMs), owing to their specific advantages, e.g., high thermal stability and high latent heat, have been recognized as promising candidates for mitigating or preventing thermal runaway in lithium-io... read more 

Inverse Design of Metal-Organic Polyhedra through Molecular Fragmentation and Evolutionary Optimisation.

Journal of chemical information and modeling
Reticular materials have come to the fore of chemistry with exceptional potential in applications ranging from CO2 capture and chemical separations to catalysis and drug delivery. However, due to the vast combinatorial space of molecular building blo... read more 

Evolution of the Diagnostic Paradigm for Giant Cell Arteritis: From Histopathology to Multi-Modal Imaging Integration Running title: GCA: Histology to Imaging.

The Journal of rheumatology
Giant cell arteritis (GCA) is a systemic vasculitis that predominantly affects mediumand large-sized arteries. Delayed diagnosis may result in irreversible blindness or stroke. Temporal artery biopsy (TAB), historically regarded as the diagnostic gol... read more 

Yield Prediction of Organic Reactions in Biased Data Sets via Positive-Unlabeled Learning.

Journal of the American Chemical Society
The vast reaction data within scientific literature represents a rich resource for training predictive machine learning models. However, this resource is fundamentally compromised by a pervasive selection and reporting bias, resulting in imbalanced d... read more 

Standard audiogram classification from loudness scaling data using unsupervised, supervised, and explainable machine learning techniques.

International journal of audiology
OBJECTIVE: To address the calibration and procedural challenges inherent in remote audiogram assessment for rehabilitative audiology, this study investigated whether calibration-independent adaptive categorical loudness scaling (ACALOS) data can be u... read more