AIMC Topic: Aged, 80 and over

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Sexing white 2D footprints using convolutional neural networks.

PloS one Aug 18, 2021
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such impressions and attempts have been made to do so using single or multi...
Middle Aged Aged Walking Pilot Projects Adolescent Aged, 80 and over Humans Sex Factors Imaging, Three-Dimensional Neural Networks, Computer Young Adult Image Processing, Computer-Assisted Foot Machine Learning Adult Algorithms Male Female
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Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older.

Gerontology Aug 17, 2021
BACKGROUND: The World Health Organization has recently updated exercise guidelines for people aged >65 years, emphasizing the inclusion of multiple fitness components. However, without adequate recognition of individual differences, these guidelines ...
Pilot Projects Exercise Therapy Humans Female Artificial Intelligence Aged Aged, 80 and over Male Exercise
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Robotic Transrectal Computed Tomographic Ultrasound with Artificial Neural Network Analysis: First Validation and Comparison with MRI-Guided Biopsies and Radical Prostatectomy.

Urologia internationalis Aug 17, 2021
INTRODUCTION: There is still a lack of availability of high-quality multiparametric magnetic resonance imaging (mpMRI) interpreted by experienced uro-radiologists to rule out clinically significant PC (csPC). Consequently, we developed a new imaging ...
Humans Neural Networks, Computer Surgery, Computer-Assisted Image-Guided Biopsy Prostatectomy Magnetic Resonance Imaging, Interventional Middle Aged Retrospective Studies Prostatic Neoplasms Tomography, X-Ray Computed Ultrasonography, Interventional Aged Robotic Surgical Procedures Aged, 80 and over Rectum Male
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Random walks on B distributed resting-state functional connectivity to identify Alzheimer's disease and Mild Cognitive Impairment.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Aug 16, 2021
OBJECTIVE: Resting-state functional connectivity reveals a promising way for the early detection of dementia. This study proposes a novel method to accurately classify Healthy Controls, Early Mild Cognitive Impairment, Late Mild Cognitive Impairment,...
Humans Algorithms Databases, Factual Cognitive Dysfunction Brain Alzheimer Disease Support Vector Machine Female Rest Magnetic Resonance Imaging Aged Nerve Net Aged, 80 and over Male
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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.

Scientific reports Aug 16, 2021
Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires ...
Datasets as Topic Smoking Adenocarcinoma of Lung Eosine Yellowish-(YS) Hematoxylin Age Factors Area Under Curve Mutation Coloring Agents Sex Factors Deep Learning Humans ROC Curve Adult Lung Neoplasms Male Female Staining and Labeling Middle Aged Aged Carcinoma, Non-Small-Cell Lung Aged, 80 and over
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Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Male Middle Aged Lung Deep Learning Adolescent Hospitals, Teaching Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Humans Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results
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A machine learning approach identifies 5-ASA and ulcerative colitis as being linked with higher COVID-19 mortality in patients with IBD.

Scientific reports Aug 13, 2021
Inflammatory bowel diseases (IBD), namely Crohn's disease (CD) and ulcerative colitis (UC) are chronic inflammation within the gastrointestinal tract. IBD patient conditions and treatments, such as with immunosuppressants, may result in a higher risk...
Adult Male Middle Aged Infant Adolescent Female Infant, Newborn Aged Aged, 80 and over Young Adult Sulfasalazine Child, Preschool Child United States Anti-Inflammatory Agents, Non-Steroidal Mesalamine Humans Machine Learning COVID-19 Databases, Factual Inflammatory Bowel Diseases
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Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis.

Scientific reports Aug 12, 2021
Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (VDZ) before administration is an unmet need for optimizing individual patient treatment. We hypothesized that the machine-learning approach with daily...
Humans Machine Learning Retrospective Studies Female Aged Proof of Concept Study Adolescent Antibodies, Monoclonal, Humanized Colitis, Ulcerative Gastrointestinal Agents Remission Induction Aged, 80 and over Young Adult Adult Male Middle Aged
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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans.

BMC medical imaging Aug 12, 2021
BACKGROUND: To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans.
Aorta Humans Machine Learning Tomography, X-Ray Computed Decision Trees Female Hemoglobins Adult Aged Hematocrit Male Aged, 80 and over Anemia Middle Aged Young Adult Image Interpretation, Computer-Assisted
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Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence-Based Computer-Aided Detection.

AJR. American journal of roentgenology Aug 11, 2021
Postoperative mammograms present interpretive challenges due to postoperative distortion and hematomas. The application of digital breast tomosyn-thesis (DBT) and artificial intelligence-based computer-aided detection (AI-CAD) after breast-conservin...
Humans Artificial Intelligence Retrospective Studies Female Middle Aged Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasm Recurrence, Local Aged Mastectomy, Segmental Aged, 80 and over Young Adult Adult Breast Neoplasms
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