AIMC Topic: Male

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Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.

Radiology Dec 21, 2021
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia...
Humans Artificial Intelligence Retrospective Studies Female Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Quality Improvement Datasets as Topic Sensitivity and Specificity Diagnostic Errors Male Middle Aged
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Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns.

Cell reports. Medicine Dec 21, 2021
Trajectories of cognitive decline vary considerably among individuals with mild cognitive impairment (MCI). To address this heterogeneity, subtyping approaches have been developed, with the objective of identifying more homogeneous subgroups. To date...
Male Deep Learning Cognitive Dysfunction Cohort Studies Cognition Positron-Emission Tomography Atrophy Brain Female Reproducibility of Results Aged Humans Biomarkers
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Evaluation of Glucocorticoid Therapy in Asthma Children with Small Airway Obstruction Based on CT Features of Deep Learning.

Computational and mathematical methods in medicine Dec 21, 2021
This study was aimed at exploring the treatment of asthma children with small airway obstruction in CT imaging features of deep learning and glucocorticoid. A total of 145 patients meeting the requirements in hospital were included in this study, and...
Deep Learning Adolescent Child, Preschool Child Computational Biology Airway Obstruction Fractional Exhaled Nitric Oxide Testing Asthma Male Glucocorticoids Lung Humans Algorithms Tomography, X-Ray Computed Female
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Reply to Nikolaos Grivas, Nikolaos Kalampokis, Markos Karavitakis, Ioannis Leotsakos, Ioannis Katafigiotis, and Henk van der Poel's Letter to the Editor re: Bara Barakat, Hazem Othman, Ulrich Gauger, Ingmar Wolff, Boris Hadaschik, Christian Rehme. Retzius Sparing Radical Prostatectomy Versus Robot-assisted Radical Prostatectomy: Which Technique Is More Beneficial for Prostate Cancer Patients (MASTER Study)? A Systematic Review and Meta-analysis. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.08.003.

European urology focus Dec 20, 2021
Humans Male Robotics Systematic Reviews as Topic Prostate Prostatectomy Meta-Analysis as Topic Prostatic Neoplasms
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Single-Port Robotic Inguinal Lymph Node Dissection for Penile Cancer.

Urology Dec 20, 2021
OBJECTIVE: Inguinal lymph node dissection (ILND) is an essential component in the diagnosis, management, and treatment of penile cancer. Recent advances in minimally invasive surgery may play an important role in decreasing the adverse effects and co...
Robotics Robotic Surgical Procedures Sentinel Lymph Node Biopsy Penile Neoplasms Male Middle Aged Lymph Nodes Lymph Node Excision Humans
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Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation.

NeuroImage Dec 20, 2021
Abnormal tau inclusions are hallmarks of Alzheimer's disease and predictors of clinical decline. Several tau PET tracers are available for neurodegenerative disease research, opening avenues for molecular diagnosis in vivo. However, few have been app...
Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Equipment Design Female Aged Aged, 80 and over Male Photomicrography Alzheimer Disease Datasets as Topic Neuroimaging tau Proteins Humans Biomarkers Tomography, X-Ray Computed
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The use and applicability of machine learning algorithms in predicting the surgical outcome for patients with benign prostatic enlargement. Which model to use?

Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica Dec 20, 2021
OBJECTIVES: Artificial intelligence (AI) is increasingly used in medicine, but data on benign prostatic enlargement (BPE) management are lacking. This study aims to test the performance of several machine learning algorithms, in predicting clinical o...
Treatment Outcome Prostatic Hyperplasia Artificial Intelligence Machine Learning Algorithms Male Humans
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Does transition from standard to Retzius-sparing technique in robot-assisted radical prostatectomy affect the functional and oncological outcomes?

Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica Dec 20, 2021
OBJECTIVE: To appraise the outcomes on the Retzius-sparing robot-assisted radical prostatectomy (Rs-RARP) learning curve of a surgeon with previous experience of anterior (standard) RARP.
Treatment Outcome Robotics Prostatic Neoplasms Robotic Surgical Procedures Humans Prostatectomy Male
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Time Factors Linear Models ROC Curve Humans Leg Fasciotomy Treatment Outcome Return to Work Machine Learning Chronic Exertional Compartment Syndrome Support Vector Machine Prognosis Lower Extremity Female Male Models, Statistical Reproducibility of Results Middle Aged Young Adult Area Under Curve Exercise Adult Military Personnel Sensitivity and Specificity Surveys and Questionnaires
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Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Dec 20, 2021
Cardiovascular disease (CVD) is one of the most common causes of death that kills approximately 17 million people annually. The main reasons behind CVD are myocardial infarction and the failure of the heart to pump blood normally. Doctors could diagn...
Heart Disease Risk Factors Chi-Square Distribution Electronic Health Records Female Aged Aged, 80 and over Neural Networks, Computer Machine Learning Algorithms Databases, Factual Computational Biology Logistic Models Support Vector Machine Decision Trees Heart Failure Adult Male Middle Aged Diagnosis, Computer-Assisted Humans
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