AIMC Topic: Female

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Validation of a machine learning algorithm for identifying infants at risk of hypoxic ischaemic encephalopathy in a large unseen data set.

Archives of disease in childhood. Fetal and neonatal edition Apr 17, 2025
OBJECTIVE: To validate a hypoxic ischaemic encephalopathy (HIE) prediction algorithm to identify infants at risk of HIE immediately after birth using readily available clinical data.
Risk Assessment Hypoxia-Ischemia, Brain Apgar Score Humans Machine Learning Algorithms Female Infant, Newborn Male
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Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database.

Frontiers in cellular and infection microbiology Apr 17, 2025
BACKGROUND: Sepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU and significantly affects patient prognosis. Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, ear...
Female Humans Databases, Factual Male Prognosis Machine Learning Sepsis Aged Retrospective Studies Algorithms Early Diagnosis Aged, 80 and over Intensive Care Units Sepsis-Associated Encephalopathy
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[Artificial intelligence and civil liability in cancerology: The breast cancer example].

Gynecologie, obstetrique, fertilite & senologie Apr 17, 2025
For some years now, artificial intelligence has been investing in the field of healthcare, in both technical and clinical disciplines. While this technological advance represents a real opportunity for the doctors of today and tomorrow, the fact rema...
Humans Artificial Intelligence Female Breast Neoplasms Liability, Legal Medical Oncology
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Improved performance of fNIRS-BCI by stacking of deep learning-derived frequency domain features.

PloS one Apr 17, 2025
The functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) systems recognize patterns in brain signals and generate control commands, thereby enabling individuals with motor disabilities to regain autonomy. In this study han...
Female Young Adult Adult Humans Spectroscopy, Near-Infrared Neural Networks, Computer Male Algorithms Deep Learning Hand Strength Brain-Computer Interfaces
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Machine Learning-Based Prediction of Unplanned Readmission Due to Major Adverse Cardiac Events Among Hospitalized Patients with Blood Cancers.

Cancer control : journal of the Moffitt Cancer Center Apr 17, 2025
BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases caused by cardiotoxic cancer therapies, which can lead to cardiovascular-related unplanned readmissions.ObjectiveWe aimed to develop a machine learnin...
Humans Risk Assessment Machine Learning Patient Readmission Algorithms Hematologic Neoplasms Retrospective Studies Male Cardiovascular Diseases Middle Aged Female Aged Adult
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Enhancing Specificity in Predicting Axillary Lymph Node Metastasis in Breast Cancer through an Interpretable Machine Learning Model with CEM and Ultrasound Integration.

Technology in cancer research & treatment Apr 17, 2025
IntroductionThe study aims to evaluate the performance of an interpretable machine learning model in predicting preoperative axillary lymph node metastasis using primary breast cancer and lymph node features derived from contrast-enhanced mammography...
Humans Machine Learning Retrospective Studies Female Aged Axilla Adult Mammography Ultrasonography, Mammary ROC Curve Breast Neoplasms Lymph Nodes Middle Aged Lymphatic Metastasis Ultrasonography Contrast Media
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An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer.

Technology in cancer research & treatment Apr 17, 2025
IntroductionTumor-infiltrating lymphocytes (TILs) are key indicators of immune response and prognosis in breast cancer (BC). Accurate prediction of TIL levels is essential for guiding personalized treatment strategies. This study aimed to develop and...
Lymphocytes, Tumor-Infiltrating Middle Aged Ultrasonography ROC Curve Nomograms Humans Aged Machine Learning Adult Prognosis Breast Neoplasms Retrospective Studies Female
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Exclusive breastfeeding is associated with the gut microbiome maturation in infants according to delivery mode.

Gut microbes Apr 16, 2025
Exclusive breastfeeding (EBF) plays a crucial role in infant gut microbiome assembly and development. However, few studies have investigated the effects of EBF in restoring a perturbed microbiome. In this study, we applied whole metagenomic sequencin...
Female Infant, Newborn Male Brazil Humans Infant Gastrointestinal Microbiome Cohort Studies Breast Feeding Feces Metagenomics Bacteria Delivery, Obstetric
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Machine Learning-Based Prediction of Quality of Life Improvement After Surgery for Spinal Metastases: A Prospective Multicenter Study.

Spine Apr 16, 2025
STUDY DESIGN: A prospective multicenter cohort study.
Treatment Outcome Prospective Studies Spinal Neoplasms Female Aged Adult Male Middle Aged Quality of Life Humans Cohort Studies Machine Learning
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Synthetic electroretinogram signal generation using a conditional generative adversarial network.

Documenta ophthalmologica. Advances in ophthalmology Apr 16, 2025
PURPOSE: The electroretinogram (ERG) records the functional response of the retina. In some neurological conditions, the ERG waveform may be altered and could support biomarker discovery. In heterogeneous or rare populations, where either large data ...
Artificial Intelligence Female Male Deep Learning Humans Neural Networks, Computer Adolescent Child Electroretinography Retina Generative Adversarial Networks
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