HKUST Launches Four Innovative AI Models for Healthcare Testing
HKUST introduces four AI models for healthcare, enhancing diagnostic accuracy and supporting clinical decision-making. 🏥🤖
Design of EEG based thought identification system using EMD & deep neural network.
A novel EEG-based system aids communication for neurological disorder patients, achieving up to 97% accuracy. 🧠💬
Unlocking the Financial Benefits of Bedside Telehealth
Bedside telehealth enhances patient safety, reduces costs, and addresses labor shortages in healthcare settings. 💻🏥📉
Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates.
AI enhances chest X-ray analysis, improving efficiency and accuracy in high-volume screening settings. 🤖📊
Siemens Healthineers Partners with EU to Enhance Stroke Management
Siemens Healthineers collaborates with EU to enhance stroke care, aiming for improved patient outcomes across Europe. 🧠🤝
Leveraging Large Language Models for Precision Monitoring of Chemotherapy-Induced Toxicities: A Pilot Study with Expert Comparisons and Future Directions.
Large Language Models show promise in monitoring chemotherapy toxicities, achieving 85.7% accuracy. Future research is essential. 📊💉
Unlocking the Potential of NHS Health Data for Research and Innovation
NHS health data access barriers hinder research progress. 📊 Streamlining processes could enhance medical innovation and patient care. 🏥
An efficient cardiovascular disease prediction model through AI-driven IoT technology.
AI-driven IoT technology enhances cardiovascular disease prediction. 📈 Our review highlights a novel algorithm achieving 95.37% accuracy. 💡
Monash University Collaborates with Apollo Hospitals to Enhance Clinical AI Research
Monash University partners with Apollo Hospitals to advance clinical AI research using extensive health data. 🤝💻
AI in Hidradenitis Suppurativa: Expert Evaluation of Patient-Facing Information.
AI chatbots like ChatGPT show promise in aiding Hidradenitis Suppurativa patients, but limitations remain. 🤖💡