AIMC Topic: Adult
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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...
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).
Radiation Dosage
Radiography, Thoracic
Sensitivity and Specificity
Cross-Sectional Studies
Male
Middle Aged
Lung
Deep Learning
Lung Neoplasms
Multiple Pulmonary Nodules
Solitary Pulmonary Nodule
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed
Humans
Female
Algorithms
Aged
Prospective Studies
Aged, 80 and over
Adult
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).
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...
Female
Reproducibility of Results
Risk Factors
Aged
Adult
Artificial Intelligence
Machine Learning
Decision Support Techniques
Databases, Factual
Retrospective Studies
Venous Thrombosis
Predictive Value of Tests
Endovascular Procedures
Venous Insufficiency
Ablation Techniques
Male
Middle Aged
Risk Assessment
Humans
Time Factors
Treatment Outcome
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...
Insulin resistance in type 1 diabetes is a key modulator of platelet hyperreactivity.
Diabetologia
Apr 30, 2025
AIMS/HYPOTHESIS: Individuals with type 1 diabetes are at increased cardiovascular risk, particularly in the presence of insulin resistance. A prothrombotic environment is believed to contribute to this risk but thrombotic pathways in type 1 diabetes ...
Mediating effect of AI attitudes and AI literacy on the relationship between career self-efficacy and job-seeking anxiety.
BMC psychology
Apr 30, 2025
As artificial intelligence (AI) technology quickly grows, college students have new worries and fears. Using Marx's theory of labour alienation, this study explores the complex relationship between college students' job-seeking anxiety (JSA) and care...
Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care.
BMC medicine
Apr 30, 2025
BACKGROUND: The aim of our study was to determine whether the application of machine learning could predict PASC by using diagnoses from primary care and prescribed medication 1 year prior to PASC diagnosis.
Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.
BMC surgery
Apr 30, 2025
BACKGROUND: Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pancreaticoduodenectomy (LPD) is a critical complication that significantly worsens patient outcomes. However, the heterogeneity of its risk factors and...
Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification.
BMC cancer
Apr 30, 2025
BACKGROUND: Advancements in the management of gastric cancer (GC) and innovative therapeutic approaches highlight the significance of the role of biomarkers in GC prognosis. Machine-learning (ML)-based methods can be applied to identify the most impo...
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