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Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study.
JMIR infodemiology
Jun 16, 2025
BACKGROUND: The COVID-19 pandemic has been accompanied by an unprecedented infodemic characterized by the widespread dissemination of misinformation. Globally, misinformation about COVID-19 has led to polarized beliefs and behaviors, including vaccin...
Rate of brain aging associates with future executive function in Asian children and older adults.
eLife
Jun 16, 2025
Brain age has emerged as a powerful tool to understand neuroanatomical aging and its link to health outcomes like cognition. However, there remains a lack of studies investigating the rate of brain aging and its relationship to cognition. Furthermore...
The utility of an artificial intelligence model based on decision tree and evolution algorithm to evaluate steatotic liver disease in a primary care setting.
Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Jun 16, 2025
Many ways of classifying steatotic liver disease (SLD) with metabolic conditions have been proposed. Thus, SLD-related variables were verified using a decision tree. We tested if the suggested components of the actual classification (metabolic dysfun...
Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.
Anais da Academia Brasileira de Ciencias
Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference study.
Health policy (Amsterdam, Netherlands)
Jun 15, 2025
OBJECTIVES: This research aimed to investigate key success factors for the adoption of AI-driven health technologies, particularly in healthcare ecosystems of low digital literacy, such as Poland.
PREDICTIVE BRCA GENETIC TESTING IN ITALIAN PATIENTS WITH BREAST CANCER: A POSITION PAPER OF ITALIAN SCIENTIFIC SOCIETIES [Italian Association of Medical Oncology(AIOM); Italian Association of Radiotherapy and Clinical Oncology (AIRO); Italian National Association of Breast Surgeons (ANISC); Italian Society of Pathological Anatomy and Diagnostic Cytology (SIAPeC-IAP); Italian Society of Surgical Oncology (SICO); Italian Society of Human Genetic (SIGU); Italian Society of General Practice (SIMG); Italian Society of Medical and Interventional Radiology (SIRM)].
Cancer treatment reviews
Jun 15, 2025
The introduction of Poly (ADP-ribose) Polymerase (PARP) inhibitors in both metastatic and early-stage breast cancer (BC) treatment has led to the emergence of Mainstreaming Cancer Genetics (MCG) as a new approach to genetic counselling, predictive of...
Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.
British journal of hospital medicine (London, England : 2005)
Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach.
European radiology experimental
Jun 14, 2025
OBJECTIVES: To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps.
Comprehensive statistical and machine learning framework for identification of metabolomic biomarkers in breast cancer.
Metabolomics : Official journal of the Metabolomic Society
Jun 14, 2025
INTRODUCTION: Breast cancer is the most common cancer among women, with its burden increasing over the past decades. Early diagnosis significantly improves survival rates and reduces lethality. Innovative technologies are being developed for early de...
Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.
Trials
Jun 13, 2025
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively ...
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