AIMC Topic: Software

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Unveiling the role of artificial intelligence applied to clear aligner therapy: A scoping review.

Journal of dentistry Jan 9, 2025
OBJECTIVES: To conduct a scoping review on the application of artificial intelligence (AI) in clear aligner therapy and to assess the extent of AI integration and automation in orthodontic software currently available to orthodontists.
Software Humans Tooth Movement Techniques Artificial Intelligence
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AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics.

Computers in biology and medicine Jan 8, 2025
This paper presents AIScholar, an intelligent research cloud platform developed based on artificial intelligence analysis methods and the OpenFaaS serverless framework, designed for intelligent analysis of clinical medical data with high scalability....
Data Analytics Artificial Intelligence Software Breast Neoplasms Cloud Computing Female Humans
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ProPr54 web server: predicting σ promoters and regulon with a hybrid convolutional and recurrent deep neural network.

NAR genomics and bioinformatics Jan 7, 2025
σ serves as an unconventional sigma factor with a distinct mechanism of transcription initiation, which depends on the involvement of a transcription activator. This unique sigma factor σ is indispensable for orchestrating the transcription of genes ...
Software Bacterial Proteins Internet Neural Networks, Computer Sigma Factor Regulon RNA Polymerase Sigma 54 Binding Sites Genome, Bacterial Promoter Regions, Genetic
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Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

Computer methods and programs in biomedicine Jan 6, 2025
The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular ap...
Machine Learning Software Stents Humans Computer Simulation Finite Element Analysis Models, Statistical
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AQuA-P: A machine learning-based tool for water quality assessment.

Journal of contaminant hydrology Jan 3, 2025
This study addresses the critical challenge of assessing the quality of groundwater and surface water, which are essential resources for various societal needs. The main contribution of this study is the application of machine learning models for eva...
Decision Trees Water Quality Environmental Monitoring Mexico Software Groundwater Machine Learning
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Effective Dose Estimation in Computed Tomography by Machine Learning.

Tomography (Ann Arbor, Mich.) Jan 2, 2025
BACKGROUND: Computed tomography scans are widely used in everyday medical practice due to speed, image reliability, and detectability of a wide range of pathologies. Each scan exposes the patient to a radiation dose, and performing a fast estimation ...
Algorithms Humans Radiation Dosage Tomography, X-Ray Computed Neural Networks, Computer Machine Learning Female Reproducibility of Results Software Male
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π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing.

Nature communications Jan 2, 2025
Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. Current deep learning mod...
Phosphopeptides Proteomics Protein Processing, Post-Translational Tandem Mass Spectrometry Sequence Analysis, Protein Algorithms Databases, Protein Peptides Deep Learning Humans Software
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A deep multiple instance learning framework improves microsatellite instability detection from tumor next generation sequencing.

Nature communications Jan 2, 2025
Microsatellite instability (MSI) is a critical phenotype of cancer genomes and an FDA-recognized biomarker that can guide treatment with immune checkpoint inhibitors. Previous work has demonstrated that next-generation sequencing data can be used to ...
Neural Networks, Computer Software Algorithms Humans Deep Learning Biomarkers, Tumor Microsatellite Instability Neoplasms High-Throughput Nucleotide Sequencing Prospective Studies
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HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration.

Computer methods and programs in biomedicine Jan 1, 2025
Digital pathology is now a standard component of the pathology workflow, offering numerous benefits such as high-detail whole slide images and the capability for immediate case sharing between hospitals. Recent advances in deep learning-based methods...
Internet Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans Software Artificial Intelligence Skin Neoplasms
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NovoRank: Refinement for Peptide Sequencing Based on Spectral Clustering and Deep Learning.

Journal of proteome research Dec 31, 2024
peptide sequencing is a valuable technique in mass-spectrometry-based proteomics, as it deduces peptide sequences directly from tandem mass spectra without relying on sequence databases. This database-independent method, however, relies solely on im...
Databases, Protein Tandem Mass Spectrometry Deep Learning Sequence Analysis, Protein Proteomics Software Cluster Analysis Peptides
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