AIMC Topic: Female

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Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.

The neurologist May 1, 2025
OBJECTIVES: Neurological emergencies pose significant challenges in medical care in resource-limited countries. Artificial intelligence (AI), particularly health chatbots, offers a promising solution. Rigorous validation is required to ensure safety ...
Nervous System Diseases Adult Neurology Male Neurologists Middle Aged Humans Triage Artificial Intelligence Female Aged
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Utilizing explainable machine learning for progression-free survival prediction in high-grade serous ovarian cancer: insights from a prospective cohort study.

International journal of surgery (London, England) May 1, 2025
BACKGROUND: High-grade serous ovarian cancer (HGSOC) remains one of the most challenging gynecological malignancies, with over 70% of ovarian cancer patients ultimately experiencing disease progression. The current prognostic tools for progression-fr...
Ovarian Neoplasms Neoplasm Grading Progression-Free Survival Cystadenocarcinoma, Serous Humans Machine Learning Prognosis Prospective Studies Female Aged Adult Middle Aged
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Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging May 1, 2025
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Radiographic Image Interpretation, Computer-Assisted Male Lung Diseases, Interstitial Middle Aged Photons Lung
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Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

Journal of thoracic imaging May 1, 2025
PURPOSE: This study was designed to construct progressive binary classification models based on radiomics and deep learning to predict the presence of epidermal growth factor receptor ( EGFR ) and TP53 mutations and to assess the models' capacities t...
Tumor Suppressor Protein p53 ErbB Receptors Adenocarcinoma of Lung Adult Lung Tomography, X-Ray Computed Humans Sensitivity and Specificity Deep Learning Female Retrospective Studies Radiomics Lung Neoplasms Reproducibility of Results Male Aged Mutation Middle Aged
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Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Algorithms Prospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Sensitivity and Specificity Cross-Sectional Studies Radiography, Thoracic Humans Lung Neoplasms Male Multiple Pulmonary Nodules Middle Aged Solitary Pulmonary Nodule Lung Radiographic Image Interpretation, Computer-Assisted Deep Learning Radiation Dosage
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Impact of dairy intake on circulating fatty acids and associations with blood pressure: A randomized crossover trial.

Nutrition, metabolism, and cardiovascular diseases : NMCD Apr 30, 2025
BACKGROUND AND AIMS: This study aimed to investigate the effects of high and adequate dairy intake (>4, 2-3 serving/day, respectively) on circulating fatty acids (FAs) and their associations with blood pressure (BP).
Humans Diet, Healthy Middle Aged Fatty Acids Dairy Products Time Factors Biomarkers Nutritive Value Quebec Blood Pressure Female Cross-Over Studies Vascular Stiffness Adult Male
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An artificial intelligence interpretable tool to predict risk of deep vein thrombosis after endovenous thermal ablation.

Journal of vascular surgery. Venous and lymphatic disorders Apr 30, 2025
OBJECTIVE: Endovenous thermal ablation (EVTA) stands as one of the primary treatments for superficial venous insufficiency. Concern exists about the potential for thromboembolic complications following this procedure. Although rare, those complicatio...
Reproducibility of Results Risk Factors Aged Adult Male Decision Support Techniques Databases, Factual Retrospective Studies Female Venous Thrombosis Predictive Value of Tests Endovascular Procedures Venous Insufficiency Ablation Techniques Middle Aged Humans Risk Assessment Artificial Intelligence Time Factors Machine Learning Treatment Outcome
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Gender Authorship Among Urology Artificial Intelligence Publications: A 10-Year Retrospective Analysis.

Urology Apr 30, 2025
We aim to characterize gender authorship in urology-related artificial intelligence (AI) research. A retrospective review was performed using MEDLINE, Embase, and Web of Science (Clarivate) databases (2014-2024). First and senior author gender was es...
Female Male Publishing Periodicals as Topic Sex Factors Urology Humans Artificial Intelligence Authorship Retrospective Studies
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TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

Journal of neuroscience methods Apr 30, 2025
BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets chemical stimuli from food and beverages, involving activation of taste receptors on the tongue. Analyzing taste perception is essential for understandin...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Taste Perception Entropy Female Young Adult Adult Male Humans Neural Networks, Computer Brain
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Ovarian Cancer Detection in Ascites Cytology with Weakly Supervised Model on Nationwide Data Set.

The American journal of pathology Apr 30, 2025
Conventional ascitic fluid cytology for detecting ovarian cancer is limited by its low sensitivity. To address this issue, this multicenter study developed patch image (PI)-based fully supervised convolutional neural network (CNN) models and clusteri...
Ovarian Neoplasms Ascites Cytodiagnosis Ascitic Fluid Humans Neural Networks, Computer Algorithms Female
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