Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images.
February 9, 2025A recent study highlights a deep learning model for lung cancer detection, achieving 99.75% accuracy. 🫁📊
Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis.
February 9, 2025Exploring living kidney donation discussions on Reddit reveals insights into donor experiences and AI's classification capabilities. 🤖💚
Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial.
February 9, 2025AI in thyroid ultrasound diagnosis shows varied accuracy. Operator experience significantly influences outcomes. 🤖🩺
A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.
February 8, 2025Deep learning techniques show promise in skin cancer classification. 🩺 This study highlights effective methods for accurate diagnosis. 📊
Guidelines for Selecting Clinical AI Solutions
February 8, 2025Guidelines for selecting clinical AI solutions are essential for effective healthcare. Learn more about this topic. 🏥🤖
Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
February 8, 2025Machine learning predicts a decline in under-5 mortality in Bangladesh. 📉 Key insights for policymakers and health professionals. 🏥
Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study.
February 8, 2025Exploring Hispanic and Latinx views on mHealth tools reveals key barriers and insights for culturally relevant technology. 📱🌍
New Online Portal for Emergency Wait Times Launched in Queensland
February 7, 2025Queensland launches an online portal for real-time emergency wait times, aiding patient decisions and referrals. 🏥💻
Predictors of depression among Chinese college students: a machine learning approach.
February 7, 2025Depression in Chinese college students: key predictors identified through machine learning. Factors include anxiety, sleep quality, and gender differences. 📊🧠