Women Entrepreneurs Shine at UK Women in Innovation Awards
Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. 🏆💡
Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.
Machine learning models can predict biliary complications and mortality in liver transplant patients. Key findings enhance decision-making. 📊🩺
Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images.
A 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.
Exploring 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.
AI 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.
Deep learning techniques show promise in skin cancer classification. 🩺 This study highlights effective methods for accurate diagnosis. 📊
Guidelines for Selecting Clinical AI Solutions
Guidelines 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.
Machine 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.
Exploring 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
Queensland launches an online portal for real-time emergency wait times, aiding patient decisions and referrals. 🏥💻