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. 🏥💻
Predictors of depression among Chinese college students: a machine learning approach.
Depression in Chinese college students: key predictors identified through machine learning. Factors include anxiety, sleep quality, and gender differences. 📊🧠
Advancements in Computer Models for Targeted Antibiotic Development
New computer models may enable targeted antibiotics, reducing resistance and improving treatment precision for bacterial infections. 🦠💊
Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care.
AI enhances Autism Spectrum Disorder care by personalizing treatment and improving access. 🤖💙 Read our review of this impactful study.
Cone beam computed tomography and artificial intelligence. ¿Where we are?
Exploring the intersection of cone beam computed tomography and artificial intelligence in dental imaging. 🦷🤖 Insights from recent research.