Artificial Intelligence Medical Compendium

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

Showing 19,141 to 19,150 of 214,800 articles

Maternal genetic variants associated with aneuploid conception: a narrative review.

Human reproduction update
BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from errors in chromosome segregation during oocyte meiosis or embryonic mitosis. While advanced maternal ... read more 

Corrigendum to: Deep Learning-Based Protein Half Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions.

Journal of microbiology and biotechnology
In the article titled "Deep Learning-Based Protein Half-Life Prediction for Identifying Rate Limiting Enzymes in Metabolic Pathways to Alleviate Bottleneck Reactions," we would like to address an authorship error that occurred during the revision pro... read more 

Path-Decoupled Cation-Eutaxy III-V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy-Energy Trade-off.

Advanced materials (Deerfield Beach, Fla.)
Transistor-based computing faces a fundamental energy-resolution trade-off: lowering the conductance reduces the programming energy (Eprog) but simultaneously narrows the dynamic range (Gmax/Gmin) required for multilevel state discrimination. A memri... read more 

Policy-Based Active Learning for Efficient Molecular Identification.

Journal of chemical information and modeling
Efficient identification of high-value molecules under limited experimental budgets remains a central challenge in automated chemical design. In Level 4 automation settings, where chemists define candidate spaces and machine learning models guide exp... read more 

MRI-based radiomics explainable model for predicting recurrence of limb chronic osteomyelitis in limb bones treated by Masquelet technique.

Bone & joint research
AIMS: This study aimed to develop a machine learning model for predicting chronic osteomyelitis recurrence (COR) following the Masquelet technique (MT). The model integrated MRI-based radiomics with clinical characteristics to guide the definitive tr... read more 

Small-Sample Reference Interval Estimation: A Comparative Analysis of HARISS, Robust, Parametric, and Nonparametric Methods Using a Computer-Simulation Study.

Veterinary clinical pathology
BACKGROUND: Current veterinary guidelines for establishing reference intervals (RIs) from small samples typically recommend the robust method (RM) or, alternatively, parametric or nonparametric methods (PNPM) based on data distribution (Gaussian or n... read more 

Classification of Serum Protein and Immunofixation Electrophoresis Images by Computer Vision-Based Deep Learning Models: A Single- and Dual-Modality Study.

Annals of clinical biochemistry
Objectives: The objective of this study was to develop deep learning models for the automated classification of serum protein electrophoresis (SPE) and immunofixation electrophoresis (IFE) images into oncologic, non-oncologic, and healthy categories,... read more 

The Combination of Machine Learning and Metabolomics for the Clinical Diagnosis of Hepatocellular Carcinoma.

Journal of proteome research
The early diagnosis of hepatocellular carcinoma (HCC) lacks biomarkers with a high sensitivity and specificity. This study was to find sensitive and specific diagnostic markers for HCC by analyzing the imbalance of serum metabolites in patients with ... read more 

Machine learning combined with WGCNA reveals potential calcium uptake-associated biomarkers in Parkinson's disease.

Annals of human biology
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characterised by progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Although previous studies have suggested a correlation between ... read more 

Acceptability, deviation, and efficiency of automated artificial intelligence-based implant planning methods: A comparison with human intelligence.

Journal of prosthodontics : official journal of the American College of Prosthodontists
PURPOSE: To evaluate the acceptability, deviation, and efficiency of two automated, artificial intelligence-driven implant planning methods compared with a human-based approach for single-tooth replacement. MATERIALS AND METHODS: Data of 32 patients,... read more