AIMC Topic: Male

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Deep Learning in High-Resolution Anoscopy: Assessing the Impact of Staining and Therapeutic Manipulation on Automated Detection of Anal Cancer Precursors.

Clinical and translational gastroenterology Apr 1, 2024
INTRODUCTION: High-resolution anoscopy (HRA) is the gold standard for detecting anal squamous cell carcinoma (ASCC) precursors. Preliminary studies on the application of artificial intelligence (AI) models to this modality have revealed promising res...
Humans Neural Networks, Computer Algorithms Sensitivity and Specificity Male Middle Aged Deep Learning Staining and Labeling Female Carcinoma, Squamous Cell Aged Adult Acetic Acid Predictive Value of Tests Proctoscopy Squamous Intraepithelial Lesions Precancerous Conditions Anus Neoplasms Anal Canal
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Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Heart Defects, Congenital Child ROC Curve Pneumonia Cardiac Surgical Procedures Machine Learning Retrospective Studies Female Infant, Newborn Humans Postoperative Complications Male Infant Risk Assessment Child, Preschool
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Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and...
Humans Neural Networks, Computer Machine Learning Colorectal Neoplasms Male Middle Aged Spectrum Analysis Margins of Excision Prospective Studies Female Aged Aged, 80 and over
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Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank.

Neuroepidemiology Apr 1, 2024
INTRODUCTION: Hippocampal atrophy is an established biomarker for conversion from the normal ageing process to developing cognitive impairment and dementia. This study used a novel hypothesis-free machine-learning approach, to uncover potential risk ...
Biological Specimen Banks UK Biobank Aged Hippocampus Male United Kingdom Middle Aged Atrophy Magnetic Resonance Imaging Humans Machine Learning Female Risk Factors
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Using Natural Language Processing to Identify Home Health Care Patients at Risk for Diagnosis of Alzheimer's Disease and Related Dementias.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Mar 31, 2024
This study aimed to: (1) validate a natural language processing (NLP) system developed for the home health care setting to identify signs and symptoms of Alzheimer's disease and related dementias (ADRD) documented in clinicians' free-text notes; (2) ...
United States Longitudinal Studies Natural Language Processing Medicare Datasets as Topic Reproducibility of Results Proportional Hazards Models Aged Humans Aged, 80 and over Male
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Intravoxel incoherent motion and diffusion kurtosis imaging and their machine-learning-based texture analysis for detection and assessment of prostate cancer severity at 3 T.

NMR in biomedicine Mar 31, 2024
OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) and their machine-learning-based texture analysis for the detection and assessment of severity in prostate cancer (PCa).
Prostatic Neoplasms Motion Diffusion Magnetic Resonance Imaging Machine Learning Aged Humans Male Middle Aged ROC Curve
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Development of risk-score model in patients with negative surgical margin after robot-assisted radical prostatectomy.

Scientific reports Mar 31, 2024
A total of 739 patients underwent RARP as initial treatment for PCa from November 2011 to October 2018. Data on BCR status, clinical and pathological parameters were collected from the clinical records. After excluding cases with neoadjuvant and/or a...
Humans Retrospective Studies Risk Factors Prostatectomy Margins of Excision Male Robotics Prostate-Specific Antigen Robotic Surgical Procedures
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Predicting Extubation Readiness in Preterm Infants Utilizing Machine Learning: A Diagnostic Utility Study.

The Journal of pediatrics Mar 30, 2024
OBJECTIVE: The objective of this study was to predict extubation readiness in preterm infants using machine learning analysis of bedside pulse oximeter and ventilator data.
Hypoxia Oxygen Saturation Infant, Premature Gestational Age Female Airway Extubation Humans Infant, Newborn Oximetry Machine Learning Male Ventilator Weaning Prospective Studies ROC Curve
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Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).

Health services research Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Emergency Room Visits Emergency Service, Hospital Patient Acuity Sex Factors International Classification of Diseases Male Middle Aged Adolescent Child, Preschool Child Logistic Models United States Age Factors Female Aged Young Adult Adult Humans Machine Learning Algorithms
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Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Mar 30, 2024
BACKGROUND: Although regional wall motion abnormality (RWMA) detection is foundational to transthoracic echocardiography, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and c...
Observer Variation Female Deep Learning Reproducibility of Results Humans Echocardiography Ventricular Dysfunction, Left Aged Artificial Intelligence Middle Aged Image Interpretation, Computer-Assisted Male
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