AIMC Topic: Aged

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Unenhanced CT texture analysis with machine learning for differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma.

Nagoya journal of medical science Feb 1, 2021
Differentiating between nasopharyngeal cancer and nasopharyngeal malignant lymphoma (ML) remains challenging on cross-sectional images. The aim of this study is to investigate the usefulness of texture features on unenhanced CT for differentiating be...
Image Interpretation, Computer-Assisted Fluorodeoxyglucose F18 Nasopharyngeal Neoplasms Male Middle Aged ROC Curve Support Vector Machine Lymphoma Biopsy Carcinoma Radiopharmaceuticals Humans Diagnosis, Differential Area Under Curve Positron Emission Tomography Computed Tomography Female Aged Adult
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[Lateral Port Site Hernia Following Robot Assisted Laparoscopic Radical Prostatectomy : A Case Report and Literature Review].

Hinyokika kiyo. Acta urologica Japonica Feb 1, 2021
The patient was a 69-year-old man with localized cT1cN0M0 prostate cancer, who underwent robotassisted laparoscopic prostatectomy (RALP). The operation time was 188 minutes, blood loss was 300 ml, including urine, and no intraoperative complications ...
Hernia Male Robotics Laparoscopy Robotic Surgical Procedures Prostatectomy Humans Aged
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Suicide, Attempted Cohort Studies Supervised Machine Learning Patient Readmission Self-Injurious Behavior Aged Young Adult Adult Sensitivity and Specificity Middle Aged Women Humans Algorithms Mental Disorders Retrospective Studies Electronic Health Records Female Reproducibility of Results Risk Factors Hospitalization
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The Auto-eFACE: Machine Learning-Enhanced Program Yields Automated Facial Palsy Assessment Tool.

Plastic and reconstructive surgery Feb 1, 2021
BACKGROUND: Facial palsy assessment is nonstandardized. Clinician-graded scales are limited by subjectivity and observer bias. Computer-aided grading would be desirable to achieve conformity in facial palsy assessment and to compare the effectiveness...
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Machine Learning Software Female Datasets as Topic Face Facial Asymmetry Photography Synkinesis Severity of Illness Index Diagnosis, Computer-Assisted Disability Evaluation Feasibility Studies Facial Paralysis
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Ascites Gastrointestinal Agents Water-Electrolyte Imbalance Humans Patient Readmission Machine Learning Lactulose Gastrointestinal Hemorrhage Anti-Bacterial Agents beta-Lactams Logistic Models Female Proton Pump Inhibitors Adrenergic beta-Antagonists Liver Cirrhosis Reproducibility of Results Infections Severity of Illness Index Clinical Decision Rules Support Vector Machine Cohort Studies End Stage Liver Disease Kidney Diseases ROC Curve Rifaximin Hydrothorax Aged Hepatic Encephalopathy Paracentesis Male Mortality Middle Aged
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Artificial intelligence indocyanine green (ICG) perfusion for colorectal cancer intra-operative tissue classification.

The British journal of surgery Jan 27, 2021
Indocyanine Green Humans Colorectal Neoplasms Artificial Intelligence Perfusion Imaging Female Male Aged Middle Aged Aged, 80 and over Intraoperative Period Coloring Agents
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Early prediction of mortality risk among patients with severe COVID-19, using machine learning.

International journal of epidemiology Jan 23, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to develop a clinical model to predict the outcome of patients with severe COVID-19 infection ...
Humans Machine Learning COVID-19 Female SARS-CoV-2 Hospitalization Aged Sensitivity and Specificity Male Patient Admission Middle Aged Risk Assessment Hospitals Case-Control Studies ROC Curve
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Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decisi...
Conscious Sedation Humans Deep Sedation Retrospective Studies Female Decision Support Systems, Clinical Aged Hypnotics and Sedatives Adult Endoscopy Natural Language Processing Male Ambulatory Care Middle Aged Medication Errors
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Integrity of clinical information in radiology reports documenting pulmonary nodules.

Journal of the American Medical Informatics Association : JAMIA Jan 15, 2021
OBJECTIVE: Quantify the integrity, measured as completeness and concordance with a thoracic radiologist, of documenting pulmonary nodule characteristics in CT reports and assess impact on making follow-up recommendations.
Humans Retrospective Studies Tomography, X-Ray Computed Multiple Pulmonary Nodules Solitary Pulmonary Nodule Documentation Electronic Health Records Natural Language Processing Radiology Information Systems Female Radiography, Thoracic Aged Male Middle Aged
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Automated Detection of Spinal Schwannomas Utilizing Deep Learning Based on Object Detection From Magnetic Resonance Imaging.

Spine Jan 15, 2021
STUDY DESIGN: A retrospective analysis of magnetic resonance imaging (MRI) was conducted.
Neurilemmoma Male Middle Aged Deep Learning Magnetic Resonance Imaging Spine Humans Retrospective Studies Female Aged Adult
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