Artificial Intelligence Medical Compendium

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

Showing 42,801 to 42,810 of 223,853 articles

Prediction and optimization of partial denitrification and anammox performance by machine learning and key bioindicators identification.

Bioresource technology
Optimizing total nitrogen removal efficiency (TNRE) in the partial denitrification and anammox (PDA) system requires a deep understanding of its key driving factors and efficient operational strategies. This study developed a preliminary model for TN... read more 

Prediction of facial profiles following orthodontic treatment in adult Class III patients using deep neural networks with feature fusion.

Journal of dentistry
OBJECTIVE: This study proposed a cascaded framework based on deep neural networks that integrate cephalogram and landmark data to predict soft tissue profiles following orthodontic treatment in adult Class III patients. METHODS: Paired pretreatment a... read more 

Generative artificial intelligence in osteoarthritis: A systematic scoping review of current applications and future directions.

Osteoarthritis and cartilage
OBJECTIVE: Generative artificial intelligence (GenAI) is a transformative tool capable of producing realistic synthetic data, modeling complex data, and translating large volumes of information into clinically meaningful insights. This systematic sco... read more 

Identification and validation of ferroptosis-related genes for diabetic nephropathy.

European journal of pharmacology
BACKGROUND: Emerging evidence highlights the pivotal role of ferroptosis in the pathophysiology of diabetic nephropathy (DN). This study aimed to identify potential ferroptosis-related genes (FRGs) in DN through bioinformatics and experimental valida... read more 

Optimization and validation of air impingement cleaning parameters for removing nonfat dry milk powder from stainless steel surfaces by machine learning.

Journal of dairy science
Air impingement cleaning can remove residues from food contact surfaces without introducing moisture, thereby controlling allergen cross-contact and pathogen cross-contamination in dry food manufacturing environments. The efficiency of air impingemen... read more 

Recent trends in electrodermal activity signal processing and deep learning methods for emotion recognition.

Neuroscience
Electrodermal activity (EDA) has emerged as one of the most informative physiological signals for emotion recognition due to its close association with sympathetic nervous system activation. Although research on affective computing has expanded rapid... read more 

Predictive proteomics: Binary classification of Streptococcus pneumoniae vaccine types via MALDI-TOF MS and supervised learning algorithms.

Journal of microbiological methods
INTRODUCTION: Laboratory surveillance of Streptococcus pneumoniae serotypes is crucial for the effective implementation of vaccines against invasive pneumococcal disease (IPD). The conventional serotyping method, the Quellung reaction, is time-consum... read more 

Meta-Learning Enhanced Multi-Source Domain Adaptation for zero-calibration motor imagery EEG decoding.

Journal of neuroscience methods
BACKGROUND: Motor imagery (MI) based brain-computer interface (BCI) holds promising application prospects for closed-loop neurorehabilitation in stroke recovery. Despite substantial progress, challenges such as inter-subject variability, lack of trai... read more 

Efficient Deep Ladle-Net for fast universal 3D lesion segmentation on chest-abdomen-pelvis computed tomography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate evaluation of tumor size on follow-up computed tomography (CT) scans is critical for assessing treatment efficacy in cancer patients. However, universal lesion segmentation of CT remains a significant challenge due to the complexity and dive... read more 

Simultaneous nitrification and denitrification microbial fuel cells (SND-MFC) for nitrogen removal and bioelectricity recovery: a review of performances, mechanisms, microorganisms, and applications.

Journal of environmental management
Complex nitrogen pollution in wastewater and the rising energy consumption are calling for the development of coupled advanced technologies to simultaneously remove pollutants and recover energy. Simultaneous nitrification and denitrification microbi... read more