AIMC Topic: Female

Clear Filters Showing 7401 to 7410 of 29210 articles

Prediction of Two Year Survival Following Elective Repair of Abdominal Aortic Aneurysms at A Single Centre Using A Random Forest Classification Algorithm.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Dec 9, 2024
OBJECTIVE: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, peri-procedural death, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of ...
Risk Factors Aged Aged, 80 and over Male Machine Learning Algorithms Retrospective Studies Female Predictive Value of Tests Aortic Aneurysm, Abdominal Elective Surgical Procedures Random Forest Endovascular Procedures Middle Aged Risk Assessment Time Factors Treatment Outcome Humans
View on PubMed DOI

Impact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.

Journal of cardiothoracic and vascular anesthesia Dec 9, 2024
OBJECTIVES: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Risk Factors Risk Assessment Humans Predictive Value of Tests Aged Machine Learning Cardiac Surgical Procedures Male Retrospective Studies Middle Aged Female Postoperative Complications Cohort Studies Systemic Inflammatory Response Syndrome
View on PubMed DOI

Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data.

International journal of medical informatics Dec 9, 2024
INTRODUCTION: Optimal basal insulin titration for people with type 2 diabetes is vital to effectively reducing the risk of complications. However, a sizeable proportion of people (30-50 %) remain in suboptimal glycemic control six months post-initiat...
Fasting Blood Glucose Hypoglycemic Agents Insulin Humans Female Diabetes Mellitus, Type 2 Machine Learning Aged Male Middle Aged
View on PubMed DOI

Evaluation of the clinical utility of lateral cephalometry reconstructed from computed tomography extracted by artificial intelligence.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Dec 9, 2024
This study assessed the accuracy and reliability of artificial intelligence (AI)-reconstructed images of two-dimensional (2D) lateral cephalometric analyses of facial computed tomography (CT) images, which is widely used for the diagnosis of craniofa...
Reproducibility of Results Young Adult Adult Male Middle Aged Adolescent Image Processing, Computer-Assisted Anatomic Landmarks Artificial Intelligence Algorithms Humans Cephalometry Tomography, X-Ray Computed Female Observer Variation
View on PubMed DOI

Does road environment aesthetics influence risky driving behavior of autonomous vehicles? An evaluation on road readiness using explainable machine learning and random parameters multinomial logit with heterogeneity.

Accident; analysis and prevention Dec 9, 2024
Aesthetics has always been an advanced requirement in road environment design, because it can provide a pleasant driving experience and guide better driving behavior for human drivers. However, it remains unknown whether aesthetics-based road environ...
Male Logistic Models Environment Design Automobiles Automobile Driving Automation Esthetics Risk-Taking Humans Machine Learning Female Adult
View on PubMed DOI

Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography.

Current eye research Dec 9, 2024
PURPOSE: To examine the performance of deep-learning models that predicts the visual acuity after cataract surgery using preoperative clinical information and color fundus photography (CFP).
Deep Learning Visual Acuity Fundus Oculi Humans Aged Cataract Extraction Postoperative Period Retrospective Studies Aged, 80 and over Cataract Female Photography Male Middle Aged
View on PubMed DOI

Artificial intelligence aided serum protein electrophoresis analysis of Finnish patient samples: Retrospective validation.

Clinica chimica acta; international journal of clinical chemistry Dec 9, 2024
BACKGROUND AND AIMS: Serum protein electrophoresis interpretation requires a substantial amount of manual work. In 2020, Chabrun et al. created a machine learning method called SPECTR for the task. We aimed to validate and test the SPECTR method agai...
Blood Proteins Finland Blood Protein Electrophoresis Retrospective Studies Humans Female Neural Networks, Computer Male Artificial Intelligence Middle Aged
View on PubMed DOI

A neural network integrated mathematical model to analyze the impact of nutritional status on cognitive development of child.

Computers in biology and medicine Dec 9, 2024
Cognitive development is a crucial developmental aspect of children. It is a concise field of study in psychology and neuroscience that focuses on various developmental aspects of the brain. Among all other factors, nutritional status is believed to ...
Child, Preschool Child Female Cognition Child Development Nutritional Status Humans Infant, Newborn Neural Networks, Computer Male Infant
View on PubMed DOI

Domain generalization for mammographic image analysis with contrastive learning.

Computers in biology and medicine Dec 9, 2024
The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires large data with diverse styles and...
Image Processing, Computer-Assisted Mammography Radiographic Image Interpretation, Computer-Assisted Breast Female Humans Breast Neoplasms Deep Learning
View on PubMed DOI

FertilitY Predictor-a machine learning-based web tool for the prediction of assisted reproduction outcomes in men with Y chromosome microdeletions.

Journal of assisted reproduction and genetics Dec 9, 2024
PURPOSE: Y chromosome microdeletions (YCMD) are a common cause of azoospermia and oligozoospermia in men. Herein, we developed a machine learning-based web tool to predict sperm retrieval rates and success rates of assisted reproduction (ART) in men ...
Male Pregnancy Rate Sperm Retrieval Infertility, Male Humans Machine Learning Pregnancy Female Reproductive Techniques, Assisted Chromosomes, Human, Y Live Birth Sex Chromosome Disorders of Sex Development Azoospermia Internet Fertility Chromosome Deletion Sex Chromosome Aberrations
View on PubMed DOI
Popular Topics
Recent Journals