AIMC Topic: Software

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Accuracy of cephalometric landmark identification by artificial intelligence platform versus expert orthodontist in unilateral cleft palate patients: A retrospective study.

International orthodontics Feb 19, 2025
OBJECTIVE: The primary aim of the study was to evaluate the accuracy of automated artificial intelligence (AI) cephalometric landmark identification in cleft patients and compare it to landmarks identified by an expert orthodontist. The secondary obj...
Cleft Palate Orthodontists Artificial Intelligence Software Retrospective Studies Humans Child Anatomic Landmarks Cephalometry Female Male Adolescent
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The development of an artificial intelligence auto-segmentation tool for 3D volumetric analysis of vestibular schwannomas.

Scientific reports Feb 18, 2025
Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis has risen in popularity; however, this is very time and labor intensive limiting its implementation in clinical practice. This study aims to show tha...
Artificial Intelligence Image Processing, Computer-Assisted Software Magnetic Resonance Imaging Humans Female Tumor Burden Algorithms Adult Middle Aged Male Neuroma, Acoustic Imaging, Three-Dimensional
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Application of Artificial Intelligence Software to Identify Emotions of Lung Cancer Patients in Preoperative Health Education: A Cross-Sectional Study.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Feb 17, 2025
AIM(S): To determine the correlation between preoperative health education and the emotions of lung cancer patients, artificial intelligence software was used.
Emotions Patient Education as Topic Software Preoperative Care Male Female Health Education Adult Middle Aged Aged Cross-Sectional Studies Humans Lung Neoplasms Artificial Intelligence
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A Tutorial on the Use of Artificial Intelligence Tools for Facial Emotion Recognition in R.

Multivariate behavioral research Feb 14, 2025
Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection ...
Artificial Intelligence Machine Learning Software Humans Automated Facial Recognition Facial Expression Facial Recognition Algorithms Deep Learning Emotions
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PhageDPO: A machine-learning based computational framework for identifying phage depolymerases.

Computers in biology and medicine Feb 13, 2025
Bacteriophages (phages) are the most predominant and genetically diverse biological entities on Earth. Phages are viruses that infect bacteria and encode numerous proteins with potential biotechnological application. However, most phage-encoded prote...
Bacteriophages Machine Learning Computational Biology Viral Proteins Software Support Vector Machine Genome, Viral
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Evaluation and failure analysis of four commercial deep learning-based autosegmentation software for abdominal organs at risk.

Journal of applied clinical medical physics Feb 13, 2025
PURPOSE: Deep learning-based segmentation of organs-at-risk (OAR) is emerging to become mainstream in clinical practice because of the superior performance over atlas and model-based autocontouring methods. While several commercial deep learning-base...
Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Software Algorithms Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization.

Communications biology Feb 13, 2025
The rapid advancement of single-cell technologies has created an urgent need for effective methods to integrate and harmonize single-cell data. Technical and biological variations across studies complicate data integration, while conventional tools o...
Neural Networks, Computer Software Deep Learning Single-Cell Analysis Computational Biology Humans
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems.

PloS one Feb 13, 2025
Software reuse is an essential practice to increase efficiency and reduce costs in software production. Software reuse practices range from reusing artifacts, libraries, components, packages, and APIs. Identifying suitable software for reuse requires...
Algorithms Machine Learning Programming Languages Software
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FakET: Simulating cryo-electron tomograms with neural style transfer.

Structure (London, England : 1993) Feb 12, 2025
In cryo-electron microscopy, accurate particle localization and classification are imperative. Recent deep learning solutions, though successful, require extensive training datasets. The protracted generation time of physics-based models, often emplo...
Software Image Processing, Computer-Assisted Cryoelectron Microscopy Electron Microscope Tomography Algorithms Deep Learning
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Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

Science advances Feb 12, 2025
Machine learning (ML) is changing the world of computational protein design, with data-driven methods surpassing biophysical-based methods in experimental success. However, they are most often reported as case studies, lack integration and standardiz...
Machine Learning Software Models, Molecular Mutation Supervised Machine Learning Algorithms Computational Biology Proteins Protein Engineering
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