yesilscience - Yesil Science

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

Nocardiosis: 9,750 cases analyzed; 19.8% mortality, 31.7% for disseminated infections. Machine learning predicts risks effectively. 📊🦠

November 27, 2025

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

⚖️ AI Ethics 🤖 Machine Learning 🥗 Nutrition

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

AI and biotechnology offer innovative solutions to reduce aflatoxin risks in food safety. 🌾🤖

November 27, 2025

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

🖼️ Computer Vision 🤖 Machine Learning 🧠 Mental Health

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

Revolutionary POV Glasses & Machine Learning Detect Depression: 84.7% Accuracy, 90.9% Sensitivity! 🤖👓

November 26, 2025

Data augmentation alters feature importance in XGBoost for CVD prediction.

🫀 Cardiology 🦠 Epidemiology 🤖 Machine Learning

Data augmentation alters feature importance in XGBoost for CVD prediction.

Data augmentation reshapes feature importance in CVD prediction models. Key findings: SMOTE model accuracy 1.0! 📊💔

November 26, 2025

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

🧠 Brain-Computer Interfaces 🤖 Machine Learning

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

Deep Learning Enhances BCI Accuracy: 3D CNNs & EEG Maps Show Promise for Motor Impairment Rehabilitation 🧠💻

November 26, 2025

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

🤖 Machine Learning 📱 Mobile Health 🌍 Public Health

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

Exploring mHealth app usage among stroke caregivers: 57.2% adoption, key factors include education, age, and motivation. 📱🧠

November 25, 2025

Trends, Innovations, and Future Care for Chronic Conditions in Latinos: A Report From the 2024 Latino Primary Care Summit.

🏥 General Practice 🤖 Internet of Things (IoT)🩺 Preventive Medicine 🌍 Public Health 🌐 Telehealth

Trends, Innovations, and Future Care for Chronic Conditions in Latinos: A Report From the 2024 Latino Primary Care Summit.

Chronic conditions in Latinos: barriers, innovations, and future care strategies discussed at the 2024 Latino Primary Care Summit. 🌍💉

November 25, 2025

Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.

⚖️ AI Ethics 🩹 Emergency 🤖 Machine Learning 👶 Pediatrics 🧬 Rare Diseases

Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.

AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! 🧠✨

November 23, 2025

Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.

🖼️ Computer Vision 🤖 Machine Learning 🌍 Public Health

Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.

Revolutionary polyp segmentation model MSFNet achieves 0.892 Dice score, enhancing early colorectal cancer detection. 📊🔍

November 23, 2025

Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma (ARIA)-EAACI 2024-2025 Guidelines: From Evidence-to-Decision Frameworks to Digitalised Shared Decision-Making Algorithms.

💉 Allergy & Immunology 🌐 Telehealth

Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma (ARIA)-EAACI 2024-2025 Guidelines: From Evidence-to-Decision Frameworks to Digitalised Shared Decision-Making Algorithms.

New ARIA-EAACI 2024-2025 guidelines utilize AI and EtD frameworks for allergic rhinitis management. 📊🤖

November 23, 2025

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Author: yesilscience

The global epidemiology, risk factors, and mortality prediction of nocardiosis: an easily missed opportunistic infection.

AI and Biotechnology to Combat Aflatoxins: Future Directions for Modern Technologies in Reducing Aflatoxin Risk.

A novel approach to depression detection using POV glasses and machine learning for multimodal analysis.

Data augmentation alters feature importance in XGBoost for CVD prediction.

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

Interpretable Machine Learning Models for Analyzing Determinants Affecting the Use of mHealth Apps Among Family Caregivers of Patients With Stroke in Chinese Communities: Cross-Sectional Survey Study.

Trends, Innovations, and Future Care for Chronic Conditions in Latinos: A Report From the 2024 Latino Primary Care Summit.

Artificial Intelligence and Radiogenomics for Pediatric CNS Neoplasms.

Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.

Methodology for the Development of the Allergic Rhinitis and Its Impact on Asthma (ARIA)-EAACI 2024-2025 Guidelines: From Evidence-to-Decision Frameworks to Digitalised Shared Decision-Making Algorithms.

Torbay and South Devon NHS Trust Launches New Electronic Patient Record System

Using Generative Artificial Intelligence (GenAI) to Co-Design Digital Health Technologies: Some Lessons Learned.

NHS England Releases New Guidelines for AI-Powered Ambient Scribes

Ethical considerations of AI integration in palliative care: a qualitative study.

Robotic rehabilitation and intelligent algorithms improving the performance skills of stroke patients: a scoping review.

Physician Gestalt Compared With Artificial Intelligence Model to Predict Intubation in Critically Ill Patients.

Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities.

AI-Powered Clinical Decision Support in Dentistry: Comparative Evaluation of Large Language Models for Oral Medicine and Periodontal Diagnosis.

Clinical applications of machine learning for infection assessment in diabetic foot ulcers.

Hertfordshire Community NHS Trust Implements AI-Powered Voice Technology