AIMC Topic: Workflow

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A deep look into radiomics.

La Radiologia medica Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Image Interpretation, Computer-Assisted Medical Oncology Neuroimaging Radiology Information Systems Diagnostic Imaging Workflow Data Mining Database Management Systems Algorithms Precision Medicine Prognosis Neoplasms Deep Learning Consensus Genomics Humans Neural Networks, Computer Machine Learning Data Analysis
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Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

Pediatric radiology Jul 1, 2021
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent years. While the dissemination of study data that has the potential to improve clinical practice is welcomed, the level of detail included in early AI re...
Radiology Radiologists Workflow Workforce Humans Artificial Intelligence Child
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PIXE based, Machine-Learning (PIXEL) supported workflow for glass fragments classification.

Talanta Jun 24, 2021
This paper presents a structured workflow for glass fragment analysis based on a combination of Elemental Analysis using PIXE and Machine Learning tools, with the ultimate goal of standardizing and helping forensic efforts. The proposed workflow was ...
Workflow Forensic Sciences Glass Machine Learning
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Automation in radiotherapy treatment planning: Examples of use in clinical practice and future trends for a complete automated workflow.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Jun 24, 2021
Modern radiotherapy treatment planning is a complex and time-consuming process that requires the skills of experienced users to obtain quality plans. Since the early 2000s, the automation of this planning process has become an important research topi...
Organs at Risk Humans Deep Learning Radiotherapy Planning, Computer-Assisted Software Publishing Automation Forecasting Feedback Workflow Radiotherapy Dosage
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Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery.

Molecular diversity Jun 23, 2021
The accumulation of massive data in the plethora of Cheminformatics databases has made the role of big data and artificial intelligence (AI) indispensable in drug design. This has necessitated the development of newer algorithms and architectures to ...
Deep Learning Big Data Workflow Databases, Factual Reproducibility of Results Artificial Intelligence Drug Design Machine Learning Drug Discovery Algorithms
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Machine learning models to select potential inhibitors of acetylcholinesterase activity from SistematX: a natural products database.

Molecular diversity Jun 16, 2021
Alzheimer's disease is the most common form of dementia, representing 60-70% of dementia cases. The enzyme acetylcholinesterase (AChE) cleaves the ester bonds in acetylcholine and plays an important role in the termination of acetylcholine activity a...
Drug Discovery ROC Curve Biological Products Structure-Activity Relationship Area Under Curve Models, Molecular Workflow Cheminformatics Humans Databases, Pharmaceutical Machine Learning Molecular Dynamics Simulation Algorithms Acetylcholinesterase Molecular Docking Simulation Cholinesterase Inhibitors
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Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review.

Molecular diversity Jun 10, 2021
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due to substantial progress in high-performance computing, the development of superior algorithms, and the accumulation of huge biological and chemical data...
Data Mining Algorithms Protein Interaction Mapping Drug Design Protein Folding Drug Discovery Databases, Pharmaceutical Big Data Protein Binding Structure-Activity Relationship Models, Theoretical Models, Molecular Proteins Workflow Humans Artificial Intelligence
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Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers.

Radiation oncology (London, England) Jun 8, 2021
PURPOSE: We recently described the validation of deep learning-based auto-segmented contour (DC) models for organs at risk (OAR) and clinical target volumes (CTV). In this study, we evaluate the performance of implemented DC models in the clinical ra...
Organs at Risk Radiotherapy Planning, Computer-Assisted Health Plan Implementation Radiotherapy Dosage Head and Neck Neoplasms Prostatic Neoplasms Workflow Radiotherapy, Intensity-Modulated Central Nervous System Neoplasms Humans Algorithms Prognosis Tomography, X-Ray Computed Male Deep Learning Image Processing, Computer-Assisted
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De novo molecular design and generative models.

Drug discovery today Jun 1, 2021
Molecular design strategies are integral to therapeutic progress in drug discovery. Computational approaches for de novo molecular design have been developed over the past three decades and, recently, thanks in part to advances in machine learning (M...
Artificial Intelligence Machine Learning Computer Simulation Drug Design Humans Drug Discovery Workflow Drug Evaluation, Preclinical
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Text mining to support abstract screening for knowledge syntheses: a semi-automated workflow.

Systematic reviews May 26, 2021
BACKGROUND: Current text mining tools supporting abstract screening in systematic reviews are not widely used, in part because they lack sensitivity and precision. We set out to develop an accessible, semi-automated "workflow" to conduct abstract scr...
Systematic Reviews as Topic Humans Workflow Machine Learning Data Mining Natural Language Processing
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