Artificial Intelligence Medical Compendium

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

Showing 24,961 to 24,970 of 217,472 articles

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods.

Progress in biomedical engineering (Bristol, England)
Deep learning for cross-subject EEG decoding is hindered by the high degree of inter-subject variability, which creates a severe domain shift between training and unseen test subjects. This survey presents a comprehensive review of deep learning meth... read more 

Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy.

Analytical chemistry
Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants have long been used to enhance immunogenicity, but quantification of adsorbed antigens remains analytically challenging. This study uses Raman spectro... read more 

VerteRo: A Fully Automated Deep Neural Network Tool for Estimating Axial Vertebral Body Rotation in Adolescent Idiopathic Scoliosis.

Global spine journal
Study DesignRetrospective validation study.ObjectivesTo develop and validate VerteRo, a fully automated deep learning-based tool that estimates axial vertebral body rotation (VBR) from standard posteroanterior (PA) scoliosis radiographs with high acc... read more 

Cost-effectiveness of infection prevention and control measures for carbapenem-resistant Gram-negative bacilli: A systematic review protocol.

BMJ open
INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (CRGNB), have a heavy health and economic burden in healthcare settings. Assessing the costs and clinical impact of infection prevention and control (IP... read more 

Evaluation of AI-Driven Automatic Segmentation Algorithms for Lung Shunt Fraction Estimation in 90Y-Labeled Microsphere Therapy.

Journal of nuclear medicine technology
90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment for hepatic neoplasms. Before therapy, the fraction of 90Y-microspheres that may shunt past the liver to the lungs, or lung shunt fraction (LSF), is es... read more 

Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability.

Gut
BACKGROUND: Failure of conventional imaging to detect pancreatic ductal adenocarcinoma (PDA) at its visually occult pre-diagnostic stage is a primary barrier to improving its otherwise poor rate of survival. OBJECTIVE: To develop and validate the Rad... read more 

Predicting Peptide Aggregation with Protein Language Model Embeddings.

Journal of chemical information and modeling
Amyloid fibrils, a form of peptide aggregates, are associated with multiple diseases and hinder the development of therapeutics. The experimental characterization of aggregating peptides is resource-intensive, and data are scarce, limiting the develo... read more 

[Precision medicine in the diagnosis of allergic airway diseases: current applications and future directions].

Zhonghua yi xue za zhi
The rapid advancement of precision medicine is shifting the clinical diagnosis of allergic airway diseases away from traditional models that rely solely on symptoms and phenotypes, and toward individualized, precision-based diagnoses that are molecul... read more 

[Current status of artificial intelligence applications in cervical cancer screening: a systematic review].

Zhonghua yi xue za zhi
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical cancer screening in China. Methods: Literature related to the application of AI in cervical cancer sc... read more 

Valorization of waste biomass in the circular bioeconomy: advances in pretreatment and catalytic conversion technologies in modern biorefineries.

Current opinion in biotechnology
In the context of global energy transition and carbon neutrality goals, converting lignocellulosic biomass into high-value products is essential for a circular bioeconomy. This review systematically explores technological advancements in modern biore... read more