AIMC Topic: Imaging Genomics

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Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review).

International journal of oncology May 11, 2020
The new era of artificial intelligence (AI) has introduced revolutionary data‑driven analysis paradigms that have led to significant advancements in information processing techniques in the context of clinical decision‑support systems. These advances...
Humans Artificial Intelligence Precision Medicine Image Processing, Computer-Assisted Imaging Genomics Radiation Oncology Biomarkers, Tumor Neoplasms Deep Learning Decision Support Systems, Clinical
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Radiomics and deep learning in lung cancer.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 4, 2020
Lung malignancies have been extensively characterized through radiomics and deep learning. By providing a three-dimensional characterization of the lesion, models based on radiomic features from computed tomography (CT) and positron-emission tomograp...
Computational Biology Treatment Outcome Lung Neoplasms Genotype Radiotherapy Planning, Computer-Assisted False Positive Reactions Neoplasm Staging Neoplasm Recurrence, Local Prognosis Tomography, X-Ray Computed Radiation Injuries Deep Learning Imaging Genomics Image Processing, Computer-Assisted Radiosurgery Humans Phenotype Radiotherapy Databases, Factual Forecasting
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Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 17, 2020
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures derived from computed tomography (CT) and F-FDG PET-CT (FDG PET-CT) images of non-small cell lung cancer (NSCLC) with and without epidermal growth factor ...
Imaging Genomics Lung Neoplasms Carcinoma, Non-Small-Cell Lung Fluorodeoxyglucose F18 Mutation Image Interpretation, Computer-Assisted Male Predictive Value of Tests Female ErbB Receptors Machine Learning Radiopharmaceuticals Lung Aged Reproducibility of Results Positron Emission Tomography Computed Tomography Retrospective Studies Humans Sensitivity and Specificity
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A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer's disease.

Cerebral cortex (New York, N.Y. : 1991) Aug 1, 2024
In recent years, brain imaging genomics has advanced significantly in revealing underlying pathological mechanisms of Alzheimer's disease (AD) and providing early diagnosis. In this paper, we present a framework for diagnosing AD that integrates magn...
Humans Cognitive Dysfunction Algorithms Support Vector Machine Brain Neuroimaging Aged Female Imaging Genomics Male Magnetic Resonance Imaging Alzheimer Disease
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