Development of an individualized stable and force-reducing lower-limb exoskeleton.
A new lower-limb exoskeleton enhances walking stability and reduces muscle force. Ideal for stroke patients and those with weakness. 🤖👣
AI Model Predicts New Dual-Target Medications
AI model predicts dual-target medications, aiding in drug development for more effective treatments. 🧪💊
Rapid bacterial identification through volatile organic compound analysis and deep learning.
New methods for rapid bacterial identification using VOC analysis and deep learning show promising accuracy. 🦠💻
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. 🏥