AIMC Topic: Female

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A Novel Technique for Eye Rejuvenation: A Case Series of the Combined Use of CO Laser Blepharoplasty and Erbium: YAG Resurfacing and A Novel Artificial Intelligence Model to Quantify Laser Results.

Journal of cosmetic dermatology Feb 1, 2025
BACKGROUND: Consumers are searching for a solution to rejuvenate the eye area. Surgical blepharoplasties are a common solution, but they lack improvement in skin quality.
Lasers, Solid-State Laser Therapy Rejuvenation Skin Aging Humans Blepharoplasty Adult Eyelids Artificial Intelligence Middle Aged Female Treatment Outcome Lasers, Gas Patient Satisfaction
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An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2025
BACKGROUND: This research aims to use deep learning to create automated systems for better breast cancer detection and categorisation in mammogram images, helping medical professionals overcome challenges such as time consumption, feature extraction ...
Breast Neoplasms Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Female Reproducibility of Results Mammography Radiographic Image Interpretation, Computer-Assisted Humans
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Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning.

Journal of cosmetic dermatology Feb 1, 2025
OBJECTIVES: To establish, evaluate and compare three recurrence prediction models for keloid patients using machine learning methods.
Decision Trees Keloid Recurrence Predictive Learning Models Middle Aged Postoperative Complications Adolescent ROC Curve Prognosis Female Adult Humans Male Machine Learning
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Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

Birth defects research Feb 1, 2025
BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health and well-being of a population. Accurate prediction of infant mortality is crucial, as it enables healthcare providers to identify at-risk populations ...
Humans Machine Learning Female Infant, Newborn Infant India Infant Mortality Ensemble Learning Boosting Machine Learning Algorithms
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Identification of Depression Subtypes in Parkinson's Disease Patients via Structural MRI Whole-Brain Radiomics: An Unsupervised Machine Learning Study.

CNS neuroscience & therapeutics Feb 1, 2025
OBJECTIVE: Current clinical evaluation may tend to lack precision in detecting depression in Parkinson's disease (DPD). Radiomics features have gradually shown potential as auxiliary diagnostic tools in identifying and distinguishing different subtyp...
Depression Aged Magnetic Resonance Imaging Radiomics Parkinson Disease Humans Male Unsupervised Machine Learning Brain Middle Aged Female
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Association of machine-learning-rated supportive counseling skills with psychotherapy outcome.

Journal of consulting and clinical psychology Feb 1, 2025
OBJECTIVE: This study applied a machine-learning-based skill assessment system to investigate the association between supportive counseling skills (empathy, open questions, and reflections) and treatment outcomes. We hypothesized that higher empathy ...
Professional-Patient Relations Treatment Outcome Psychotherapy Counseling Empathy Adult Male Middle Aged Clinical Competence Humans Machine Learning Female Young Adult
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Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models.

Pharmacology research & perspectives Feb 1, 2025
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximum at 1500-2000 mg/day in patients with type 2 diabetes (T2D) in the U.S. In Japan, there is little evidence on the HbA1c-lowering effect of high-dose ...
Glycated Hemoglobin Japan Metformin Hypoglycemic Agents Longitudinal Studies Dose-Response Relationship, Drug East Asian People Humans Machine Learning Female Aged Male Middle Aged Diabetes Mellitus, Type 2
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints.

The Journal of international medical research Feb 1, 2025
OBJECTIVE: To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA).
Humans Adult Male Middle Aged Convolutional Neural Networks Neural Networks, Computer Retrospective Studies Female Aged Arthritis, Rheumatoid Ultrasonography, Doppler Joints Synovitis
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Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Radiology Feb 1, 2025
Background Combined mammography and MRI screening is not universally accessible for women with intermediate breast cancer risk due to limited MRI resources. Selecting women for MRI by assessing their mammogram may enable more resource-effective scree...
Breast Aged Adult Breast Neoplasms Middle Aged Risk Assessment Magnetic Resonance Imaging Humans Early Detection of Cancer Artificial Intelligence Mammography Retrospective Studies Female
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Scale to predict risk for refractory septic shock based on a hybrid approach using machine learning and regression modeling.

Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias Feb 1, 2025
OBJECTIVE: To develop a scale to predict refractory septic shock (SS) based on clinical variables recorded during initial evaluations of patients.
Intensive Care Units Female Aged Male Humans Machine Learning Retrospective Studies Regression Analysis Middle Aged Emergency Service, Hospital Risk Assessment Registries ROC Curve Norepinephrine Shock, Septic
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